diff --git a/.gitignore b/.gitignore
index a2ac4afc9..129a9bb20 100644
--- a/.gitignore
+++ b/.gitignore
@@ -138,4 +138,4 @@ dmypy.json
 .pyre/
 
 # macOS .DS_Store files
-.DS_Store
\ No newline at end of file
+.DS_Store
diff --git a/README b/README
new file mode 100644
index 000000000..a0990367e
--- /dev/null
+++ b/README
@@ -0,0 +1 @@
+TBD
diff --git a/README.md b/README.md
index edad38158..454e7b721 100644
--- a/README.md
+++ b/README.md
@@ -119,6 +119,10 @@ Follow these steps to quickly set up and run the ChatGPT Retrieval Plugin:
    export MILVUS_USER=<your_milvus_username>
    export MILVUS_PASSWORD=<your_milvus_password>
 
+   # KDB.AI
+   export KDBAI_ENDPOINT=<KDB.AI_endpoint>
+   export KDBAI_API_KEY=<KDB.AI_API_key>
+
    # Qdrant
    export QDRANT_URL=<your_qdrant_url>
    export QDRANT_PORT=<your_qdrant_port>
@@ -388,6 +392,10 @@ For more detailed instructions on setting up and using each vector database prov
 
 [Milvus](https://milvus.io/) is an open-source, cloud-native vector database that scales to billions of vectors. It is the open-source version of Zilliz and shares many of its features, such as various indexing algorithms, distance metrics, scalar filtering, time travel searches, rollback with snapshots, multi-language SDKs, storage and compute separation, and cloud scalability. For detailed setup instructions, refer to [`/docs/providers/milvus/setup.md`](/docs/providers/milvus/setup.md).
 
+#### KDB.AI
+
+[KDB.AI](https://kdb.ai) is a powerful knowledge-based vector database and search engine that allows developers to build scalable, reliable and real-time applications by providing advanced search, recommendation and personalization for AI applications, using real-time data. For detailed setup instructions, refer to [`/docs/providers/kdbai/setup.md`](/docs/providers/kdbai/setup.md).
+
 #### Qdrant
 
 [Qdrant](https://qdrant.tech/) is a vector database capable of storing documents and vector embeddings. It offers both self-hosted and managed [Qdrant Cloud](https://cloud.qdrant.io/) deployment options, providing flexibility for users with different requirements. For detailed setup instructions, refer to [`/docs/providers/qdrant/setup.md`](/docs/providers/qdrant/setup.md).
diff --git a/datastore/factory.py b/datastore/factory.py
index 67f17eba5..4d4bd655d 100644
--- a/datastore/factory.py
+++ b/datastore/factory.py
@@ -65,11 +65,15 @@ async def get_datastore() -> DataStore:
         case "elasticsearch":
             from datastore.providers.elasticsearch_datastore import (
                 ElasticsearchDataStore,
-            )
+            ) 
+            return ElasticsearchDataStore()    
+        case "kdbai":
+            from datastore.providers.kdbai_datastore import KDBAIDataStore
+
+            return KDBAIDataStore()
 
-            return ElasticsearchDataStore()
         case _:
             raise ValueError(
                 f"Unsupported vector database: {datastore}. "
-                f"Try one of the following: llama, elasticsearch, pinecone, weaviate, milvus, zilliz, redis, azuresearch, or qdrant"
+                f"Try one of the following: llama, elasticsearch, pinecone, weaviate, milvus, zilliz, redis, azuresearch, kdbai or qdrant"
             )
diff --git a/datastore/providers/kdbai_datastore.py b/datastore/providers/kdbai_datastore.py
new file mode 100644
index 000000000..a22c38550
--- /dev/null
+++ b/datastore/providers/kdbai_datastore.py
@@ -0,0 +1,171 @@
+import os
+from typing import Dict, List, Optional
+
+from loguru import logger
+import pandas as pd
+
+from services.date import to_unix_timestamp
+from datastore.datastore import DataStore
+
+from models.models import (
+    DocumentChunk,
+    DocumentChunkWithScore,
+    DocumentMetadataFilter,
+    QueryResult,
+    QueryWithEmbedding,
+)
+
+try:
+    import pykx as kx
+    logger.info('PyKX version: ' + kx.__version__)
+
+except ImportError:
+    raise ValueError(
+        'Could not import pykx package.'
+        'Please add it to the dependencies.'
+    )
+
+try:
+    import kdbai_client as kdbai
+    logger.info('KDBAI client version: ' + kdbai.__version__)
+
+except ImportError:
+    raise ValueError(
+        'Could not import kdbai_client package.'
+        'Please add it to the dependencies.'
+    )
+
+
+KDBAI_ENDPOINT = os.environ.get('KDBAI_ENDPOINT', 'http://localhost:8082')
+KDBAI_API_KEY = os.environ.get('KDBAI_API_KEY', '')
+
+if KDBAI_API_KEY == '':
+    KDBAI_API_KEY = None
+
+DEFAULT_DIMS = 3072
+BATCH_SIZE = 100
+
+DEFAULT_SCHEMA = dict(
+    columns=[
+        dict(name='document_id', pytype='str'),
+        dict(name='text', pytype='bytes'),
+        dict(name='vecs', vectorIndex=dict(type='flat', metric='L2', dims=DEFAULT_DIMS)),
+    ])
+
+SCHEMA = os.environ.get('KDBAI_SCHEMA', DEFAULT_SCHEMA)
+TABLE = os.environ.get('KDBAI_TABLE', 'documents')
+
+
+class KDBAIDataStore(DataStore):
+
+    def __init__(self) -> None: 
+        try:
+            logger.info('Creating KDBAI datastore...')
+            self._session = kdbai.Session(endpoint=KDBAI_ENDPOINT, api_key=KDBAI_API_KEY)
+            
+            if TABLE in self._session.list():
+                self._table = self._session.table(TABLE)
+            else:
+                self._table = self._session.create_table(TABLE, SCHEMA)
+                    
+        except Exception as e:
+            logger.error(f'Error while initializing KDBAI datastore: {e}.')
+            raise e
+        
+        
+    async def _upsert(self, chunks: Dict[str, List[DocumentChunk]]) -> List[str]:
+        """Upsert chunks into the datastore.
+
+        Args:
+            chunks (Dict[str, List[DocumentChunk]]): A list of DocumentChunks to insert
+
+        Raises:
+            e: Error in upserting data.
+
+        Returns:
+            List[str]: The document_id's that were inserted.
+        """
+        try: 
+            docs = []
+            for doc_id, chunk_list in chunks.items():
+                for chunk in chunk_list:
+                    docs.append(dict(
+                        document_id=doc_id,
+                        text=chunk.text,
+                        vecs=chunk.embedding,
+                    ))
+            df = pd.DataFrame(docs)
+
+            for i in range((len(df)-1)//BATCH_SIZE+1):
+                batch = df.iloc[i*BATCH_SIZE:(i+1)*BATCH_SIZE]
+                try:
+                    self._table.insert(batch, warn=False)
+                except Exception as e:
+                    logger.exception('Failed to insert the batch of documents into the data store.')
+
+            return list(df['document_id'])
+        
+        except Exception as e:
+            logger.exception(f'Failed to insert documents into the data store.')
+            return []
+
+
+    async def _query(
+        self,
+        queries: List[QueryWithEmbedding],
+    ) -> List[QueryResult]:
+        """Query
+
+        Search the embedding and its filter in the collection.
+
+        Args:
+            queries (List[QueryWithEmbedding]): The list of searches to perform.
+
+        Returns:
+            List[QueryResult]: Results for each search.
+        """
+        out = []
+        for query in queries:
+            try:
+                resdf = self._table.search(vectors=[query.embedding], n=query.top_k)[0]
+            except Exception as e:
+                logger.exception(f"Error while processing queries.")
+                raise e
+            
+            docs = []
+            for result in resdf.to_dict(orient='records'):
+                docs.append(DocumentChunkWithScore(
+                    id=result['document_id'],
+                    text=result['text'],
+                    metadata=dict(),
+                    score=result['__nn_distance'],
+                ))
+            out.append(QueryResult(query=query.query, results=docs))
+
+        return out
+
+
+    async def delete(
+        self,
+        ids: Optional[List[str]] = None,
+        filter: Optional[DocumentMetadataFilter] = None,
+        delete_all: Optional[bool] = None,
+    ) -> bool:
+        
+        """
+        Delete all vectors and assosiated index.
+        """
+        # Delete all vectors and assosiated index
+
+        try:
+           if delete_all:
+                self._table.drop()
+                logger.info(f"Deleted all vectors and index successfully")
+                return True
+           else:
+                logger.error("Functionality is not implemented yet")
+		
+        except Exception as e:
+            logger.error("Failed to delete records, error: {}".format(e))
+            return []
+
diff --git a/docs/providers/kdbai/setup.md b/docs/providers/kdbai/setup.md
new file mode 100644
index 000000000..36197432f
--- /dev/null
+++ b/docs/providers/kdbai/setup.md
@@ -0,0 +1,16 @@
+# KDB.AI
+
+[KDB.AI](https://kdb.ai) is a powerful knowledge-based vector database and search engine that allows developers to build scalable, reliable and real-time applications by providing advanced search, recommendation and personalization for AI applications, using real-time data. You can register for Free Trial on https://kdb.ai.
+
+You can find a sample notebook to use the ChatGPT Retrieval Plugin backed by KDB.AI vector database [here](https://github.com/KxSystems/chatgpt-retrieval-plugin/blob/KDB.AI/examples/providers/kdbai/ChatGPT_QA_Demo.ipynb) and instructions to get started [here](https://code.kx.com/kdbai/integrations/openai.html).
+
+**Environment Variables:**
+
+| Name                | Required | Description                                                 | Default            |
+| ------------------- | -------- | ----------------------------------------------------------- | ------------------ |
+| `DATASTORE`         | Yes      | Datastore name, set to `kdbai`                              |                    |
+| `BEARER_TOKEN`      | Yes      | Secret token                                                |                    |
+| `OPENAI_API_KEY`    | Yes      | OpenAI API key                                              |                    |
+| `KDBAI_ENDPOINT`    | Yes      | KDB.AI endpoint                                             |                    |
+| `KDBAI_API_KEY`     | Yes      | KDB.AI API key                                              |                    |
+| `KDBAI_TABLE`       | Optional | TCP port for Qdrant GRPC communication                      | `documents`        |
diff --git a/examples/providers/kdbai/ChatGPT_QA_Demo.ipynb b/examples/providers/kdbai/ChatGPT_QA_Demo.ipynb
new file mode 100644
index 000000000..129d4c0d6
--- /dev/null
+++ b/examples/providers/kdbai/ChatGPT_QA_Demo.ipynb
@@ -0,0 +1,645 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# KDB.AI for Q&A with ChatGPT Retrieval Plugin"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This example will demonstrate how to use the ChatGPT Retrieval Plugin to embed and store data in KDB.AI, as well as to query the embedded data. The plugin enables ChatGPT large language models, such as GPT-3.5, to be used for querying data that it wasn't trained on. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## How does the ChatGPT Retrieval Plugin work?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![kdbai-chatgpt-overview](kdbai-chatgpt-overview.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The diagram above provides a high-level overview of the system, and explains how ChatGPT, the Retrieval Plugin, and KDB.AI all interact with one another. The system can be broken down into two main sub-systems: upserting (shown in red) and querying (shown in blue).\n",
+    "\n",
+    "\n",
+    "### Upserting\n",
+    "\n",
+    "Upserting is the process of taking our own dataset and uploading it to our vector database. In order to upsert data, we must pre-process it to remove any part we do not want to store in the database, change the format to a dictionary, and divide it into batches. When we call  `/upsert`, each batch of data is embedded using an OpenAI LLM (Large Language Model), to generate a vector embedding for similarity search. The data and its embedding are then inserted into a KDB.AI table.\n",
+    "\n",
+    "\n",
+    "### Querying\n",
+    "\n",
+    "Querying involves taking an input query, or question, transforming it into an embedded vector, and running similarity search in the vector database to find its nearest neighbours - data with closest relevancy to the query. When we call `/query`,  the input query is embedded with the same OpenAI LLM used for upserting, to generate a query vector. A similarity search algorithm running within KDB.AI will return the N closest matches with highest relevancy to the query. This \"context\" is then sent back to ChatGPT via the Retrieval Plugin. Finally, using this contextual information, ChatGPT outputs a human-like response to the query.\n",
+    "\n",
+    "Having an external source of data greatly increases the applicability of ChatGPT to different tasks. For example: GPT-3.5 can only answer questions with information it has seen during training, which is capped at 2021.. Therefore, if you asked it who the 2023 UK Prime Minister is, the model does not have the necessary information. However, if you were to download a dataset of political data up to the present day, ChatGPT would be able to use this data to answer the question. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Getting Started\n",
+    "\n",
+    "### Prerequisites\n",
+    "\n",
+    "- Python 3\n",
+    "- Pip\n",
+    "- Git\n",
+    "\n",
+    "### Install the KDB.AI ChatGPT Retrieval Plugin server app\n",
+    "\n",
+    "```\n",
+    "git clone https://github.com/KxSystems/chatgpt-retrieval-plugin -b KDB.AI\n",
+    "cd chatgpt-retrieval-plugin\n",
+    "pip install poetry\n",
+    "poetry install\n",
+    "```\n",
+    "\n",
+    "### Run the KDB.AI ChatGPT Retrieval Plugin server app\n",
+    "\n",
+    "```\n",
+    "export BEARER_TOKEN='<BEARER TOKEN>'  # you can create your own bearer token on auth0.com\n",
+    "export DATASTORE=kdbai\n",
+    "export KDBAI_ENDPOINT='<KDB.AI ENDPOINT>'\n",
+    "export KDBAI_API_KEY='<KDB.AI API KEY>'\n",
+    "export OPENAI_API_KEY='<OPENAI API KEY>'  # You can get a free API key on https://platform.openai.com\n",
+    "\n",
+    "poetry run start\n",
+    "```\n",
+    "\n",
+    "### Install a separate Jupyter environment to run this notebook\n",
+    "\n",
+    "```\n",
+    "pip install datasets jupyter openai tqdm\n",
+    "```\n",
+    "\n",
+    "### Run Jupyter\n",
+    "\n",
+    "```\n",
+    "export BEARER_TOKEN='<BEARER TOKEN>'  # Same bearer token as above\n",
+    "export OPENAI_API_KEY='<OPENAI API KEY>'\n",
+    "\n",
+    "jupyter notebook\n",
+    "```\n",
+    "\n",
+    "Then open this notebook in Jupyter."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "from pprint import pprint\n",
+    "import random\n",
+    "\n",
+    "from datasets import load_dataset\n",
+    "import openai\n",
+    "import requests\n",
+    "from tqdm.auto import tqdm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "BEARER_TOKEN = os.environ.get(\"BEARER_TOKEN\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Load Dataset from Hugging Face\n",
+    "\n",
+    "The Adversarial_QA dataset is chosen for this demonstration. It consists of questions that current state-of-the-art models find challenging, paired with contextual data that can be used to formulate an answer. Some of these questions have very poor grammar (\"What sare the benifts of the blood brain barrir?\"), and others are purposefully vague (\"What is at the highest level?\"), as shown in the example below:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Number of unique contexts: 2648\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>title</th>\n",
+       "      <th>context</th>\n",
+       "      <th>question</th>\n",
+       "      <th>answers</th>\n",
+       "      <th>metadata</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>7ba1e8f4261d3170fcf42e84a81dd749116fae95</td>\n",
+       "      <td>Brain</td>\n",
+       "      <td>Another approach to brain function is to exami...</td>\n",
+       "      <td>What sare the benifts of the blood brain barrir?</td>\n",
+       "      <td>{'text': ['isolated from the bloodstream'], 'a...</td>\n",
+       "      <td>{'split': 'train', 'model_in_the_loop': 'Combi...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>936a8460bfffe437b54cf3ec1e825a3b7b5627a1</td>\n",
+       "      <td>Brain</td>\n",
+       "      <td>Motor systems are areas of the brain that are ...</td>\n",
+       "      <td>What do you think with?</td>\n",
+       "      <td>{'text': ['brain'], 'answer_start': [467]}</td>\n",
+       "      <td>{'split': 'train', 'model_in_the_loop': 'Combi...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>e40737d487964dbcd26a223f2799cf56390a98a8</td>\n",
+       "      <td>Brain</td>\n",
+       "      <td>The brain is an organ that serves as the cente...</td>\n",
+       "      <td>How are neurons connected?</td>\n",
+       "      <td>{'text': ['synapses'], 'answer_start': [602]}</td>\n",
+       "      <td>{'split': 'train', 'model_in_the_loop': 'Combi...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>a0f8e785a10f6e21e24207d24ba2823162383062</td>\n",
+       "      <td>Brain</td>\n",
+       "      <td>The SCN projects to a set of areas in the hypo...</td>\n",
+       "      <td>The body's central biological clock is contain...</td>\n",
+       "      <td>{'text': ['SCN'], 'answer_start': [4]}</td>\n",
+       "      <td>{'split': 'train', 'model_in_the_loop': 'Combi...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>53</th>\n",
+       "      <td>6d753d4a8878b5f5bc496d9a369b8c0b212079a0</td>\n",
+       "      <td>Brain</td>\n",
+       "      <td>The brain contains several motor areas that pr...</td>\n",
+       "      <td>What is at the highest level?</td>\n",
+       "      <td>{'text': ['the primary motor cortex'], 'answer...</td>\n",
+       "      <td>{'split': 'train', 'model_in_the_loop': 'Combi...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                          id  title  \\\n",
+       "0   7ba1e8f4261d3170fcf42e84a81dd749116fae95  Brain   \n",
+       "12  936a8460bfffe437b54cf3ec1e825a3b7b5627a1  Brain   \n",
+       "24  e40737d487964dbcd26a223f2799cf56390a98a8  Brain   \n",
+       "37  a0f8e785a10f6e21e24207d24ba2823162383062  Brain   \n",
+       "53  6d753d4a8878b5f5bc496d9a369b8c0b212079a0  Brain   \n",
+       "\n",
+       "                                              context  \\\n",
+       "0   Another approach to brain function is to exami...   \n",
+       "12  Motor systems are areas of the brain that are ...   \n",
+       "24  The brain is an organ that serves as the cente...   \n",
+       "37  The SCN projects to a set of areas in the hypo...   \n",
+       "53  The brain contains several motor areas that pr...   \n",
+       "\n",
+       "                                             question  \\\n",
+       "0    What sare the benifts of the blood brain barrir?   \n",
+       "12                            What do you think with?   \n",
+       "24                         How are neurons connected?   \n",
+       "37  The body's central biological clock is contain...   \n",
+       "53                      What is at the highest level?   \n",
+       "\n",
+       "                                              answers  \\\n",
+       "0   {'text': ['isolated from the bloodstream'], 'a...   \n",
+       "12         {'text': ['brain'], 'answer_start': [467]}   \n",
+       "24      {'text': ['synapses'], 'answer_start': [602]}   \n",
+       "37             {'text': ['SCN'], 'answer_start': [4]}   \n",
+       "53  {'text': ['the primary motor cortex'], 'answer...   \n",
+       "\n",
+       "                                             metadata  \n",
+       "0   {'split': 'train', 'model_in_the_loop': 'Combi...  \n",
+       "12  {'split': 'train', 'model_in_the_loop': 'Combi...  \n",
+       "24  {'split': 'train', 'model_in_the_loop': 'Combi...  \n",
+       "37  {'split': 'train', 'model_in_the_loop': 'Combi...  \n",
+       "53  {'split': 'train', 'model_in_the_loop': 'Combi...  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data = load_dataset(\"adversarial_qa\", 'adversarialQA', ignore_verifications=True)['train'].to_pandas()\n",
+    "data = data.drop_duplicates(subset=[\"context\"])\n",
+    "print(f\"Number of unique contexts: {len(data)}\")\n",
+    "data.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To use this dataset for Q&A with ChatGPT, we need to insert the relevant data into our vector datastore - KDB.AI. The only column of data we will insert is the \"context\" column, which we reformat into a dictionary."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'text': 'Another approach to brain function is to examine the consequences of '\n",
+      "         'damage to specific brain areas. Even though it is protected by the '\n",
+      "         'skull and meninges, surrounded by cerebrospinal fluid, and isolated '\n",
+      "         'from the bloodstream by the blood–brain barrier, the delicate nature '\n",
+      "         'of the brain makes it vulnerable to numerous diseases and several '\n",
+      "         'types of damage. In humans, the effects of strokes and other types '\n",
+      "         'of brain damage have been a key source of information about brain '\n",
+      "         'function. Because there is no ability to experimentally control the '\n",
+      "         'nature of the damage, however, this information is often difficult '\n",
+      "         'to interpret. In animal studies, most commonly involving rats, it is '\n",
+      "         'possible to use electrodes or locally injected chemicals to produce '\n",
+      "         'precise patterns of damage and then examine the consequences for '\n",
+      "         'behavior.'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# extract text data from the dataset\n",
+    "documents = [\n",
+    "    {\n",
+    "        'id': r['id'],\n",
+    "        'text': r['context'],\n",
+    "        'metadata': {\n",
+    "            'title': r['title']\n",
+    "        }\n",
+    "    } for r in data.to_dict(orient='records')\n",
+    "]\n",
+    "pprint(documents[0])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Insert data to the KDB.AI table"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# initialise an HTTP session with the KDB.AI ChatGPT Retrieval Plugin app\n",
+    "s = requests.Session()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The `/upsert` instruction is used to insert data to the KDB.AI datastore in batches, with each batch being embedded with OpenAI Embedding Model `text-embedding-ada-002` before it is added to the table. We take our contextual data, which has been reformatted into a dictionary, and call `/upsert` on batches of 100 documents at a time. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "bbcc7b88e39a49039d3983aae95a2b3d",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "  0%|          | 0/27 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "batchSize = 100\n",
+    "\n",
+    "# upsert documents from the dataset in batches\n",
+    "for i in tqdm(range(0, len(documents), batchSize)):\n",
+    "    i_end = min(len(documents), i+batchSize)\n",
+    "    \n",
+    "    res = s.post(\n",
+    "        \"http://localhost:8000/upsert\",\n",
+    "        \n",
+    "        headers = {\n",
+    "            \"Authorization\": f\"Bearer {BEARER_TOKEN}\"\n",
+    "        },\n",
+    "        \n",
+    "        json = {\n",
+    "            \"documents\": documents[i:i_end]\n",
+    "        }\n",
+    "    )"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Query the KDB.AI table"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We can take the list of questions from our dataset and format them into a dictionary. We will randomly choose 5 of these questions to be our queries in this example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[{'query': 'What roads are part of the Schnellweg?'}, {'query': 'Little Britain is actually?'}, {'query': 'What is the second smallest large urban area listed?'}, {'query': 'Which country is governed by a national assembly?'}, {'query': 'What was Ireland an exception to?'}]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# extract questions and reformat into queries\n",
+    "queries = data['question'].tolist()\n",
+    "queries = [{'query': queries[i]} for i in range(len(queries))]\n",
+    "\n",
+    "# choose 5 queries at random \n",
+    "i = random.randint(0, len(queries)-5)\n",
+    "searchQueries = queries[i:i+5]\n",
+    "\n",
+    "print(searchQueries)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The `/query` instruction is used to extract relevant information from the KDB.AI datastore. The queries are embedded into vectors, and a similarity search algorithm is used to calculate its nearest neighbours, representing the most relevant entries in the table. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<Response [200]>\n"
+     ]
+    }
+   ],
+   "source": [
+    "# query the vector database\n",
+    "results = requests.post(\n",
+    "    \"http://localhost:8000/query\",\n",
+    "    \n",
+    "    headers = {\n",
+    "        \"Authorization\": f\"Bearer {BEARER_TOKEN}\"\n",
+    "    },\n",
+    "    \n",
+    "    json = {\n",
+    "        'queries': searchQueries\n",
+    "    }\n",
+    ")\n",
+    "\n",
+    "print(results)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "In the cell below, we iterate through each query and its results, and pass this data to ChatGPT, which uses it to respond to the query with natural language. Here, you can see the three \"nearest neighbour\" pieces of context that ChatGPT uses to form its answer."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "QUERY:\n",
+      "What roads are part of the Schnellweg?\n",
+      "\n",
+      "CONTEXT:\n",
+      "0.21: The Schnellweg (en: expressway) system, a number of Bundesstraße roads, forms a structure loosely resembling a large ring road together with A2 and A7. The roads are B 3, B 6 and B 65, called Westschnellweg (B6 on the northern part, B3 on the southern part), Messeschnellweg (B3, becomes A37 near Burgdorf, crosses A2, becomes B3 again, changes to B6 at Seelhorster Kreuz, then passes the Hanover fairground as B6 and becomes A37 again before merging into A7) and Südschnellweg (starts out as B65, becomes B3/B6/B65 upon crossing Westschnellweg, then becomes B65 again at Seelhorster Kreuz).\n",
+      "0.21: The Schnellweg (en: expressway) system, a number of Bundesstraße roads, forms a structure loosely resembling a large ring road together with A2 and A7. The roads are B 3, B 6 and B 65, called Westschnellweg (B6 on the northern part, B3 on the southern part), Messeschnellweg (B3, becomes A37 near Burgdorf, crosses A2, becomes B3 again, changes to B6 at Seelhorster Kreuz, then passes the Hanover fairground as B6 and becomes A37 again before merging into A7) and Südschnellweg (starts out as B65, becomes B3/B6/B65 upon crossing Westschnellweg, then becomes B65 again at Seelhorster Kreuz).\n",
+      "0.21: The Schnellweg (en: expressway) system, a number of Bundesstraße roads, forms a structure loosely resembling a large ring road together with A2 and A7. The roads are B 3, B 6 and B 65, called Westschnellweg (B6 on the northern part, B3 on the southern part), Messeschnellweg (B3, becomes A37 near Burgdorf, crosses A2, becomes B3 again, changes to B6 at Seelhorster Kreuz, then passes the Hanover fairground as B6 and becomes A37 again before merging into A7) and Südschnellweg (starts out as B65, becomes B3/B6/B65 upon crossing Westschnellweg, then becomes B65 again at Seelhorster Kreuz).\n",
+      "\n",
+      "RESPONSE: \n",
+      "The roads that are part of the Schnellweg system are B3, B6, and B65. Specifically, the Westschnellweg consists of B6 on the northern part and B3 on the southern part, the Messeschnellweg includes B3/A37, and the Südschnellweg includes B65/B3/B6/B65 sections.\n",
+      "\n",
+      "----------------------------------------------------------------------\n",
+      "\n",
+      "QUERY:\n",
+      "Little Britain is actually?\n",
+      "\n",
+      "CONTEXT:\n",
+      "0.39: The Greco-Egyptian scientist Claudius Ptolemy referred to the larger island as great Britain (μεγάλης Βρεττανίας - megális Brettanias) and to Ireland as little Britain (μικρής Βρεττανίας - mikris Brettanias) in his work Almagest (147–148 AD). In his later work, Geography (c. 150 AD), he gave these islands the names Alwion, Iwernia, and Mona (the Isle of Man), suggesting these may have been names of the individual islands not known to him at the time of writing Almagest. The name Albion appears to have fallen out of use sometime after the Roman conquest of Great Britain, after which Britain became the more commonplace name for the island called Great Britain.\n",
+      "0.39: The Greco-Egyptian scientist Claudius Ptolemy referred to the larger island as great Britain (μεγάλης Βρεττανίας - megális Brettanias) and to Ireland as little Britain (μικρής Βρεττανίας - mikris Brettanias) in his work Almagest (147–148 AD). In his later work, Geography (c. 150 AD), he gave these islands the names Alwion, Iwernia, and Mona (the Isle of Man), suggesting these may have been names of the individual islands not known to him at the time of writing Almagest. The name Albion appears to have fallen out of use sometime after the Roman conquest of Great Britain, after which Britain became the more commonplace name for the island called Great Britain.\n",
+      "0.39: The Greco-Egyptian scientist Claudius Ptolemy referred to the larger island as great Britain (μεγάλης Βρεττανίας - megális Brettanias) and to Ireland as little Britain (μικρής Βρεττανίας - mikris Brettanias) in his work Almagest (147–148 AD). In his later work, Geography (c. 150 AD), he gave these islands the names Alwion, Iwernia, and Mona (the Isle of Man), suggesting these may have been names of the individual islands not known to him at the time of writing Almagest. The name Albion appears to have fallen out of use sometime after the Roman conquest of Great Britain, after which Britain became the more commonplace name for the island called Great Britain.\n",
+      "\n",
+      "RESPONSE: \n",
+      "Little Britain, according to the Greco-Egyptian scientist Claudius Ptolemy, refers to Ireland. In his work Almagest, Ptolemy referred to the larger island as Great Britain and to Ireland as Little Britain.\n",
+      "\n",
+      "----------------------------------------------------------------------\n",
+      "\n",
+      "QUERY:\n",
+      "What is the second smallest large urban area listed?\n",
+      "\n",
+      "CONTEXT:\n",
+      "0.4: In its 2013 ParkScore ranking, The Trust for Public Land reported that the park system in New York City was the second best park system among the 50 most populous U.S. cities, behind the park system of Minneapolis. ParkScore ranks urban park systems by a formula that analyzes median park size, park acres as percent of city area, the percent of city residents within a half-mile of a park, spending of park services per resident, and the number of playgrounds per 10,000 residents.\n",
+      "0.4: In its 2013 ParkScore ranking, The Trust for Public Land reported that the park system in New York City was the second best park system among the 50 most populous U.S. cities, behind the park system of Minneapolis. ParkScore ranks urban park systems by a formula that analyzes median park size, park acres as percent of city area, the percent of city residents within a half-mile of a park, spending of park services per resident, and the number of playgrounds per 10,000 residents.\n",
+      "0.4: In its 2013 ParkScore ranking, The Trust for Public Land reported that the park system in New York City was the second best park system among the 50 most populous U.S. cities, behind the park system of Minneapolis. ParkScore ranks urban park systems by a formula that analyzes median park size, park acres as percent of city area, the percent of city residents within a half-mile of a park, spending of park services per resident, and the number of playgrounds per 10,000 residents.\n",
+      "\n",
+      "RESPONSE: \n",
+      "Based on the information provided, I don't have the specific details about the sizes of the urban areas listed. Without more specific information or a list of the urban areas, I cannot determine the second smallest large urban area.\n",
+      "\n",
+      "----------------------------------------------------------------------\n",
+      "\n",
+      "QUERY:\n",
+      "Which country is governed by a national assembly?\n",
+      "\n",
+      "CONTEXT:\n",
+      "0.37: In fact, there was an eighth province, the County of Drenthe, but this area was so poor it was exempt from paying federal taxes and as a consequence was denied representation in the States General. Each province was governed by the Provincial States, the main executive official (though not the official head of state) was a raadspensionaris. In times of war, the stadtholder, who commanded the army, would have more power than the raadspensionaris.\n",
+      "0.37: In fact, there was an eighth province, the County of Drenthe, but this area was so poor it was exempt from paying federal taxes and as a consequence was denied representation in the States General. Each province was governed by the Provincial States, the main executive official (though not the official head of state) was a raadspensionaris. In times of war, the stadtholder, who commanded the army, would have more power than the raadspensionaris.\n",
+      "0.37: In fact, there was an eighth province, the County of Drenthe, but this area was so poor it was exempt from paying federal taxes and as a consequence was denied representation in the States General. Each province was governed by the Provincial States, the main executive official (though not the official head of state) was a raadspensionaris. In times of war, the stadtholder, who commanded the army, would have more power than the raadspensionaris.\n",
+      "\n",
+      "RESPONSE: \n",
+      "The Netherlands is governed by a national assembly called the States General.\n",
+      "\n",
+      "----------------------------------------------------------------------\n",
+      "\n",
+      "QUERY:\n",
+      "What was Ireland an exception to?\n",
+      "\n",
+      "CONTEXT:\n",
+      "0.33: Newfoundland reverted to colonial status in 1933, suffering from financial difficulties during the Great Depression. Ireland distanced itself further from Britain with the introduction of a new constitution in 1937, making it a republic in all but name.\n",
+      "0.33: Newfoundland reverted to colonial status in 1933, suffering from financial difficulties during the Great Depression. Ireland distanced itself further from Britain with the introduction of a new constitution in 1937, making it a republic in all but name.\n",
+      "0.33: Newfoundland reverted to colonial status in 1933, suffering from financial difficulties during the Great Depression. Ireland distanced itself further from Britain with the introduction of a new constitution in 1937, making it a republic in all but name.\n",
+      "\n",
+      "RESPONSE: \n",
+      "Ireland was an exception to the British rule, as it distanced itself further from Britain with the introduction of a new constitution in 1937, making it a republic in all but name.\n",
+      "\n",
+      "----------------------------------------------------------------------\n"
+     ]
+    }
+   ],
+   "source": [
+    "# iterate through each set of queries/results\n",
+    "for query_response in results.json()['results']:\n",
+    "    query = query_response['query']\n",
+    "    answers = []\n",
+    "    scores = []\n",
+    "    \n",
+    "    # extract answers and scores from each result\n",
+    "    for result in query_response['results']:\n",
+    "        \n",
+    "        # answer = textual information related to the query\n",
+    "        answers.append(result['text'])\n",
+    "        \n",
+    "        # score = distance between the query vector and the answer vector (smaller=better!)\n",
+    "        scores.append(round(result['score'], 2))\n",
+    "    \n",
+    "    # print the query\n",
+    "    print(\"\\nQUERY:\\n\"+query)\n",
+    "    \n",
+    "    # print the query responses, and their scores\n",
+    "    print(\"\\nCONTEXT:\\n\"+\"\\n\".join([f\"{s}: {a}\" for a, s in zip(answers, scores)])+\"\\n\")\n",
+    "    \n",
+    "    # format the query and its answers into GPT messages\n",
+    "    messages = [\n",
+    "        {\"role\": \"system\", \"content\": f\"You are a helpful assistant with the following knowledge: {answers}\"},\n",
+    "        {\"role\": \"user\", \"content\": f\"Using your knowledge, answer this query: {query}\"}\n",
+    "    ]\n",
+    "    \n",
+    "    # send the messages to a GPT model\n",
+    "    response = openai.chat.completions.create(\n",
+    "      model=\"gpt-3.5-turbo\",\n",
+    "      messages=messages,\n",
+    "      max_tokens=100,\n",
+    "      n=1,\n",
+    "      stop=None,            \n",
+    "    )\n",
+    "\n",
+    "    # extract the generated response from the API response\n",
+    "    generated_response = response.choices[0].message.content\n",
+    "    \n",
+    "    # Print the generated response\n",
+    "    print(f\"RESPONSE: \\n{generated_response}\\n\")\n",
+    "    print(\"-\"*70)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Delete the KDB.AI table"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To delete the KDB.AI table, run the code cell below. Once this is done, the ChatGPT Retrieval Plugin app will need to be restarted to create another table."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "## One would need to restart the KDB.AI ChatGPT Retrieval Plugin server app\n",
+    "## after this, to recreate the table\n",
+    "res = requests.delete(\n",
+    "    \"http://localhost:8000/delete\",\n",
+    "    headers = {\n",
+    "        \"Authorization\": f\"Bearer {BEARER_TOKEN}\"\n",
+    "    }, \n",
+    "    json = {\n",
+    "        \"delete_all\": True\n",
+    "    }\n",
+    ")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/examples/providers/kdbai/kdbai-chatgpt-overview.png b/examples/providers/kdbai/kdbai-chatgpt-overview.png
new file mode 100644
index 000000000..bce69d96a
Binary files /dev/null and b/examples/providers/kdbai/kdbai-chatgpt-overview.png differ
diff --git a/poetry.lock b/poetry.lock
index 0923295ad..006f95a8b 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,89 +1,88 @@
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 ]
 
 [package.dependencies]
@@ -101,7 +100,6 @@ speedups = ["Brotli", "aiodns", "brotlicffi"]
 name = "aiosignal"
 version = "1.3.1"
 description = "aiosignal: a list of registered asynchronous callbacks"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -114,14 +112,13 @@ frozenlist = ">=1.1.0"
 
 [[package]]
 name = "anyio"
-version = "4.2.0"
+version = "4.3.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -135,70 +132,10 @@ doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphin
 test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
 trio = ["trio (>=0.23)"]
 
-[[package]]
-name = "argon2-cffi"
-version = "23.1.0"
-description = "Argon2 for Python"
-category = "main"
-optional = false
-python-versions = ">=3.7"
-files = [
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-]
-
-[package.dependencies]
-argon2-cffi-bindings = "*"
-
-[package.extras]
-dev = ["argon2-cffi[tests,typing]", "tox (>4)"]
-docs = ["furo", "myst-parser", "sphinx", "sphinx-copybutton", "sphinx-notfound-page"]
-tests = ["hypothesis", "pytest"]
-typing = ["mypy"]
-
-[[package]]
-name = "argon2-cffi-bindings"
-version = "21.2.0"
-description = "Low-level CFFI bindings for Argon2"
-category = "main"
-optional = false
-python-versions = ">=3.6"
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-]
-
-[package.dependencies]
-cffi = ">=1.0.1"
-
-[package.extras]
-dev = ["cogapp", "pre-commit", "pytest", "wheel"]
-tests = ["pytest"]
-
 [[package]]
 name = "arrow"
 version = "1.3.0"
 description = "Better dates & times for Python"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -212,13 +149,12 @@ types-python-dateutil = ">=2.8.10"
 
 [package.extras]
 doc = ["doc8", "sphinx (>=7.0.0)", "sphinx-autobuild", "sphinx-autodoc-typehints", "sphinx_rtd_theme (>=1.3.0)"]
-test = ["dateparser (>=1.0.0,<2.0.0)", "pre-commit", "pytest", "pytest-cov", "pytest-mock", "pytz (==2021.1)", "simplejson (>=3.0.0,<4.0.0)"]
+test = ["dateparser (==1.*)", "pre-commit", "pytest", "pytest-cov", "pytest-mock", "pytz (==2021.1)", "simplejson (==3.*)"]
 
 [[package]]
 name = "async-timeout"
 version = "4.0.3"
 description = "Timeout context manager for asyncio programs"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -228,28 +164,27 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "23.1.0"
+version = "23.2.0"
 description = "Classes Without Boilerplate"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.extras]
 cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[docs,tests]", "pre-commit"]
+dev = ["attrs[tests]", "pre-commit"]
 docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
 tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "authlib"
 version = "1.3.0"
 description = "The ultimate Python library in building OAuth and OpenID Connect servers and clients."
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -264,7 +199,6 @@ cryptography = "*"
 name = "azure-common"
 version = "1.1.28"
 description = "Microsoft Azure Client Library for Python (Common)"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -274,18 +208,16 @@ files = [
 
 [[package]]
 name = "azure-core"
-version = "1.29.6"
+version = "1.30.1"
 description = "Microsoft Azure Core Library for Python"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "azure-core-1.29.6.tar.gz", hash = "sha256:13b485252ecd9384ae624894fe51cfa6220966207264c360beada239f88b738a"},
-    {file = "azure_core-1.29.6-py3-none-any.whl", hash = "sha256:604a005bce6a49ba661bb7b2be84a9b169047e52fcfcd0a4e4770affab4178f7"},
+    {file = "azure-core-1.30.1.tar.gz", hash = "sha256:26273a254131f84269e8ea4464f3560c731f29c0c1f69ac99010845f239c1a8f"},
+    {file = "azure_core-1.30.1-py3-none-any.whl", hash = "sha256:7c5ee397e48f281ec4dd773d67a0a47a0962ed6fa833036057f9ea067f688e74"},
 ]
 
 [package.dependencies]
-anyio = ">=3.0,<5.0"
 requests = ">=2.21.0"
 six = ">=1.11.0"
 typing-extensions = ">=4.6.0"
@@ -297,7 +229,6 @@ aio = ["aiohttp (>=3.0)"]
 name = "azure-identity"
 version = "1.15.0"
 description = "Microsoft Azure Identity Library for Python"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -315,7 +246,6 @@ msal-extensions = ">=0.3.0,<2.0.0"
 name = "azure-search-documents"
 version = "11.4.0b8"
 description = "Microsoft Azure Cognitive Search Client Library for Python"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -332,7 +262,6 @@ isodate = ">=0.6.0"
 name = "backoff"
 version = "2.2.1"
 description = "Function decoration for backoff and retry"
-category = "main"
 optional = false
 python-versions = ">=3.7,<4.0"
 files = [
@@ -340,11 +269,25 @@ files = [
     {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
 ]
 
+[[package]]
+name = "backports-tarfile"
+version = "1.0.0"
+description = "Backport of CPython tarfile module"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "backports.tarfile-1.0.0-py3-none-any.whl", hash = "sha256:bcd36290d9684beb524d3fe74f4a2db056824c47746583f090b8e55daf0776e4"},
+    {file = "backports.tarfile-1.0.0.tar.gz", hash = "sha256:2688f159c21afd56a07b75f01306f9f52c79aebcc5f4a117fb8fbb4445352c75"},
+]
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["pytest (>=6,!=8.1.1)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)"]
+
 [[package]]
 name = "blobfile"
 version = "2.1.1"
 description = "Read GCS, ABS and local paths with the same interface, clone of tensorflow.io.gfile"
-category = "main"
 optional = false
 python-versions = ">=3.8.0"
 files = [
@@ -360,21 +303,19 @@ urllib3 = ">=1.25.3,<3"
 
 [[package]]
 name = "certifi"
-version = "2023.11.17"
+version = "2024.2.2"
 description = "Python package for providing Mozilla's CA Bundle."
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
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+    {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
+    {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
 ]
 
 [[package]]
 name = "cffi"
 version = "1.16.0"
 description = "Foreign Function Interface for Python calling C code."
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -439,7 +380,6 @@ pycparser = "*"
 name = "charset-normalizer"
 version = "3.3.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
-category = "main"
 optional = false
 python-versions = ">=3.7.0"
 files = [
@@ -539,7 +479,6 @@ files = [
 name = "chromadb"
 version = "0.3.26"
 description = "Chroma."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -569,7 +508,6 @@ uvicorn = {version = ">=0.18.3", extras = ["standard"]}
 name = "click"
 version = "8.1.7"
 description = "Composable command line interface toolkit"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -584,7 +522,6 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
 name = "click-log"
 version = "0.4.0"
 description = "Logging integration for Click"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -597,92 +534,77 @@ click = "*"
 
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 name = "clickhouse-connect"
-version = "0.6.23"
+version = "0.7.7"
 description = "ClickHouse Database Core Driver for Python, Pandas, and Superset"
-category = "main"
-optional = false
-python-versions = "~=3.7"
-files = [
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 [package.dependencies]
@@ -703,7 +625,6 @@ sqlalchemy = ["sqlalchemy (>1.3.21,<2.0)"]
 name = "colorama"
 version = "0.4.6"
 description = "Cross-platform colored terminal text."
-category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 files = [
@@ -715,7 +636,6 @@ files = [
 name = "coloredlogs"
 version = "15.0.1"
 description = "Colored terminal output for Python's logging module"
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 files = [
@@ -731,64 +651,63 @@ cron = ["capturer (>=2.4)"]
 
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 ]
 
 [package.dependencies]
@@ -799,60 +718,67 @@ toml = ["tomli"]
 
 [[package]]
 name = "cryptography"
-version = "41.0.7"
+version = "42.0.5"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "cryptography-42.0.5.tar.gz", hash = "sha256:6fe07eec95dfd477eb9530aef5bead34fec819b3aaf6c5bd6d20565da607bfe1"},
 ]
 
 [package.dependencies]
-cffi = ">=1.12"
+cffi = {version = ">=1.12", markers = "platform_python_implementation != \"PyPy\""}
 
 [package.extras]
 docs = ["sphinx (>=5.3.0)", "sphinx-rtd-theme (>=1.1.1)"]
-docstest = ["pyenchant (>=1.6.11)", "sphinxcontrib-spelling (>=4.0.1)", "twine (>=1.12.0)"]
+docstest = ["pyenchant (>=1.6.11)", "readme-renderer", "sphinxcontrib-spelling (>=4.0.1)"]
 nox = ["nox"]
-pep8test = ["black", "check-sdist", "mypy", "ruff"]
+pep8test = ["check-sdist", "click", "mypy", "ruff"]
 sdist = ["build"]
 ssh = ["bcrypt (>=3.1.5)"]
-test = ["pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
+test = ["certifi", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
 test-randomorder = ["pytest-randomly"]
 
 [[package]]
 name = "dataclasses-json"
-version = "0.6.3"
+version = "0.6.4"
 description = "Easily serialize dataclasses to and from JSON."
-category = "main"
 optional = false
 python-versions = ">=3.7,<4.0"
 files = [
-    {file = "dataclasses_json-0.6.3-py3-none-any.whl", hash = "sha256:4aeb343357997396f6bca1acae64e486c3a723d8f5c76301888abeccf0c45176"},
-    {file = "dataclasses_json-0.6.3.tar.gz", hash = "sha256:35cb40aae824736fdf959801356641836365219cfe14caeb115c39136f775d2a"},
+    {file = "dataclasses_json-0.6.4-py3-none-any.whl", hash = "sha256:f90578b8a3177f7552f4e1a6e535e84293cd5da421fcce0642d49c0d7bdf8df2"},
+    {file = "dataclasses_json-0.6.4.tar.gz", hash = "sha256:73696ebf24936560cca79a2430cbc4f3dd23ac7bf46ed17f38e5e5e7657a6377"},
 ]
 
 [package.dependencies]
@@ -863,7 +789,6 @@ typing-inspect = ">=0.4.0,<1"
 name = "deprecation"
 version = "2.1.0"
 description = "A library to handle automated deprecations"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -876,29 +801,28 @@ packaging = "*"
 
 [[package]]
 name = "dnspython"
-version = "2.4.2"
+version = "2.6.1"
 description = "DNS toolkit"
-category = "main"
 optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = ">=3.8"
 files = [
-    {file = "dnspython-2.4.2-py3-none-any.whl", hash = "sha256:57c6fbaaeaaf39c891292012060beb141791735dbb4004798328fc2c467402d8"},
-    {file = "dnspython-2.4.2.tar.gz", hash = "sha256:8dcfae8c7460a2f84b4072e26f1c9f4101ca20c071649cb7c34e8b6a93d58984"},
+    {file = "dnspython-2.6.1-py3-none-any.whl", hash = "sha256:5ef3b9680161f6fa89daf8ad451b5f1a33b18ae8a1c6778cdf4b43f08c0a6e50"},
+    {file = "dnspython-2.6.1.tar.gz", hash = "sha256:e8f0f9c23a7b7cb99ded64e6c3a6f3e701d78f50c55e002b839dea7225cff7cc"},
 ]
 
 [package.extras]
-dnssec = ["cryptography (>=2.6,<42.0)"]
-doh = ["h2 (>=4.1.0)", "httpcore (>=0.17.3)", "httpx (>=0.24.1)"]
-doq = ["aioquic (>=0.9.20)"]
-idna = ["idna (>=2.1,<4.0)"]
-trio = ["trio (>=0.14,<0.23)"]
-wmi = ["wmi (>=1.5.1,<2.0.0)"]
+dev = ["black (>=23.1.0)", "coverage (>=7.0)", "flake8 (>=7)", "mypy (>=1.8)", "pylint (>=3)", "pytest (>=7.4)", "pytest-cov (>=4.1.0)", "sphinx (>=7.2.0)", "twine (>=4.0.0)", "wheel (>=0.42.0)"]
+dnssec = ["cryptography (>=41)"]
+doh = ["h2 (>=4.1.0)", "httpcore (>=1.0.0)", "httpx (>=0.26.0)"]
+doq = ["aioquic (>=0.9.25)"]
+idna = ["idna (>=3.6)"]
+trio = ["trio (>=0.23)"]
+wmi = ["wmi (>=1.5.1)"]
 
 [[package]]
 name = "docutils"
 version = "0.20.1"
 description = "Docutils -- Python Documentation Utilities"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -910,7 +834,6 @@ files = [
 name = "docx2txt"
 version = "0.8"
 description = "A pure python-based utility to extract text and images from docx files."
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -921,7 +844,6 @@ files = [
 name = "dotty-dict"
 version = "1.3.1"
 description = "Dictionary wrapper for quick access to deeply nested keys."
-category = "main"
 optional = false
 python-versions = ">=3.5,<4.0"
 files = [
@@ -931,63 +853,69 @@ files = [
 
 [[package]]
 name = "duckdb"
-version = "0.9.2"
-description = "DuckDB embedded database"
-category = "main"
+version = "0.10.1"
+description = "DuckDB in-process database"
 optional = false
 python-versions = ">=3.7.0"
 files = [
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 ]
 
 [[package]]
 name = "elastic-transport"
-version = "8.11.0"
+version = "8.13.0"
 description = "Transport classes and utilities shared among Python Elastic client libraries"
-category = "main"
 optional = false
 python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -995,13 +923,12 @@ certifi = "*"
 urllib3 = ">=1.26.2,<3"
 
 [package.extras]
-develop = ["aiohttp", "furo", "mock", "pytest", "pytest-asyncio", "pytest-cov", "pytest-httpserver", "pytest-mock", "requests", "sphinx (>2)", "sphinx-autodoc-typehints", "trustme"]
+develop = ["aiohttp", "furo", "httpx", "mock", "opentelemetry-api", "opentelemetry-sdk", "orjson", "pytest", "pytest-asyncio", "pytest-cov", "pytest-httpserver", "pytest-mock", "requests", "respx", "sphinx (>2)", "sphinx-autodoc-typehints", "trustme"]
 
 [[package]]
 name = "elasticsearch"
 version = "8.8.2"
 description = "Python client for Elasticsearch"
-category = "main"
 optional = false
 python-versions = ">=3.6, <4"
 files = [
@@ -1016,33 +943,10 @@ elastic-transport = ">=8,<9"
 async = ["aiohttp (>=3,<4)"]
 requests = ["requests (>=2.4.0,<3.0.0)"]
 
-[[package]]
-name = "environs"
-version = "9.5.0"
-description = "simplified environment variable parsing"
-category = "main"
-optional = false
-python-versions = ">=3.6"
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-
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-lint = ["flake8 (==4.0.1)", "flake8-bugbear (==21.9.2)", "mypy (==0.910)", "pre-commit (>=2.4,<3.0)"]
-tests = ["dj-database-url", "dj-email-url", "django-cache-url", "pytest"]
-
 [[package]]
 name = "exceptiongroup"
 version = "1.2.0"
 description = "Backport of PEP 654 (exception groups)"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1057,7 +961,6 @@ test = ["pytest (>=6)"]
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 version = "0.92.0"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
-category = "main"
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@@ -1077,38 +980,35 @@ test = ["anyio[trio] (>=3.2.1,<4.0.0)", "black (==22.10.0)", "coverage[toml] (>=
 
 [[package]]
 name = "filelock"
-version = "3.13.1"
+version = "3.13.3"
 description = "A platform independent file lock."
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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 typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
 name = "flatbuffers"
-version = "23.5.26"
+version = "24.3.25"
 description = "The FlatBuffers serialization format for Python"
-category = "main"
 optional = false
 python-versions = "*"
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 python-versions = ">=3.8"
 files = [
@@ -1193,14 +1093,13 @@ files = [
 
 [[package]]
 name = "fsspec"
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+version = "2024.3.1"
 description = "File-system specification"
-category = "main"
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 python-versions = ">=3.8"
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 [package.extras]
@@ -1218,7 +1117,7 @@ github = ["requests"]
 gs = ["gcsfs"]
 gui = ["panel"]
 hdfs = ["pyarrow (>=1)"]
-http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
 libarchive = ["libarchive-c"]
 oci = ["ocifs"]
 s3 = ["s3fs"]
@@ -1231,7 +1130,6 @@ tqdm = ["tqdm"]
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 description = "Git Object Database"
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 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1244,27 +1142,26 @@ smmap = ">=3.0.1,<6"
 
 [[package]]
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 python-versions = ">=3.7"
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@@ -1350,119 +1246,135 @@ test = ["objgraph", "psutil"]
 
 [[package]]
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 ]
 
 [package.dependencies]
-grpcio = ">=1.58.0"
+grpcio = ">=1.62.1"
 protobuf = ">=4.21.6,<5.0dev"
 setuptools = "*"
 
@@ -1470,7 +1382,6 @@ setuptools = "*"
 name = "h11"
 version = "0.14.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1482,7 +1393,6 @@ files = [
 name = "h2"
 version = "4.1.0"
 description = "HTTP/2 State-Machine based protocol implementation"
-category = "main"
 optional = false
 python-versions = ">=3.6.1"
 files = [
@@ -1498,7 +1408,6 @@ hyperframe = ">=6.0,<7"
 name = "hnswlib"
 version = "0.8.0"
 description = "hnswlib"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -1512,7 +1421,6 @@ numpy = "*"
 name = "hpack"
 version = "4.0.0"
 description = "Pure-Python HPACK header compression"
-category = "main"
 optional = false
 python-versions = ">=3.6.1"
 files = [
@@ -1524,7 +1432,6 @@ files = [
 name = "httpcore"
 version = "0.16.3"
 description = "A minimal low-level HTTP client."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1536,17 +1443,16 @@ files = [
 anyio = ">=3.0,<5.0"
 certifi = "*"
 h11 = ">=0.13,<0.15"
-sniffio = ">=1.0.0,<2.0.0"
+sniffio = "==1.*"
 
 [package.extras]
 http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (>=1.0.0,<2.0.0)"]
+socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "httptools"
 version = "0.6.1"
 description = "A collection of framework independent HTTP protocol utils."
-category = "main"
 optional = false
 python-versions = ">=3.8.0"
 files = [
@@ -1595,7 +1501,6 @@ test = ["Cython (>=0.29.24,<0.30.0)"]
 name = "httpx"
 version = "0.23.3"
 description = "The next generation HTTP client."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1612,20 +1517,19 @@ sniffio = "*"
 
 [package.extras]
 brotli = ["brotli", "brotlicffi"]
-cli = ["click (>=8.0.0,<9.0.0)", "pygments (>=2.0.0,<3.0.0)", "rich (>=10,<13)"]
+cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<13)"]
 http2 = ["h2 (>=3,<5)"]
-socks = ["socksio (>=1.0.0,<2.0.0)"]
+socks = ["socksio (==1.*)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.20.1"
+version = "0.22.2"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
-category = "main"
 optional = false
 python-versions = ">=3.8.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -1638,22 +1542,23 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "mypy (==1.5.1)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "ruff (>=0.3.0)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
-inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
-quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
+hf-transfer = ["hf-transfer (>=0.1.4)"]
+inference = ["aiohttp", "minijinja (>=1.0)"]
+quality = ["mypy (==1.5.1)", "ruff (>=0.3.0)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
-torch = ["torch"]
+tensorflow-testing = ["keras (<3.0)", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "minijinja (>=1.0)", "numpy", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-rerunfailures", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+torch = ["safetensors", "torch"]
 typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
 name = "humanfriendly"
 version = "10.0"
 description = "Human friendly output for text interfaces using Python"
-category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 files = [
@@ -1668,7 +1573,6 @@ pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_ve
 name = "hyperframe"
 version = "6.0.1"
 description = "HTTP/2 framing layer for Python"
-category = "main"
 optional = false
 python-versions = ">=3.6.1"
 files = [
@@ -1680,7 +1584,6 @@ files = [
 name = "idna"
 version = "3.6"
 description = "Internationalized Domain Names in Applications (IDNA)"
-category = "main"
 optional = false
 python-versions = ">=3.5"
 files = [
@@ -1690,29 +1593,27 @@ files = [
 
 [[package]]
 name = "importlib-metadata"
-version = "7.0.1"
+version = "7.1.0"
 description = "Read metadata from Python packages"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-7.0.1-py3-none-any.whl", hash = "sha256:4805911c3a4ec7c3966410053e9ec6a1fecd629117df5adee56dfc9432a1081e"},
-    {file = "importlib_metadata-7.0.1.tar.gz", hash = "sha256:f238736bb06590ae52ac1fab06a3a9ef1d8dce2b7a35b5ab329371d6c8f5d2cc"},
+    {file = "importlib_metadata-7.1.0-py3-none-any.whl", hash = "sha256:30962b96c0c223483ed6cc7280e7f0199feb01a0e40cfae4d4450fc6fab1f570"},
+    {file = "importlib_metadata-7.1.0.tar.gz", hash = "sha256:b78938b926ee8d5f020fc4772d487045805a55ddbad2ecf21c6d60938dc7fcd2"},
 ]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
+testing = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "iniconfig"
 version = "2.0.0"
 description = "brain-dead simple config-ini parsing"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1724,7 +1625,6 @@ files = [
 name = "invoke"
 version = "1.7.3"
 description = "Pythonic task execution"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -1736,7 +1636,6 @@ files = [
 name = "isodate"
 version = "0.6.1"
 description = "An ISO 8601 date/time/duration parser and formatter"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -1749,14 +1648,13 @@ six = "*"
 
 [[package]]
 name = "jaraco-classes"
-version = "3.3.0"
+version = "3.4.0"
 description = "Utility functions for Python class constructs"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jaraco.classes-3.3.0-py3-none-any.whl", hash = "sha256:10afa92b6743f25c0cf5f37c6bb6e18e2c5bb84a16527ccfc0040ea377e7aaeb"},
-    {file = "jaraco.classes-3.3.0.tar.gz", hash = "sha256:c063dd08e89217cee02c8d5e5ec560f2c8ce6cdc2fcdc2e68f7b2e5547ed3621"},
+    {file = "jaraco.classes-3.4.0-py3-none-any.whl", hash = "sha256:f662826b6bed8cace05e7ff873ce0f9283b5c924470fe664fff1c2f00f581790"},
+    {file = "jaraco.classes-3.4.0.tar.gz", hash = "sha256:47a024b51d0239c0dd8c8540c6c7f484be3b8fcf0b2d85c13825780d3b3f3acd"},
 ]
 
 [package.dependencies]
@@ -1764,13 +1662,48 @@ more-itertools = "*"
 
 [package.extras]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+
+[[package]]
+name = "jaraco-context"
+version = "5.3.0"
+description = "Useful decorators and context managers"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "jaraco.context-5.3.0-py3-none-any.whl", hash = "sha256:3e16388f7da43d384a1a7cd3452e72e14732ac9fe459678773a3608a812bf266"},
+    {file = "jaraco.context-5.3.0.tar.gz", hash = "sha256:c2f67165ce1f9be20f32f650f25d8edfc1646a8aeee48ae06fb35f90763576d2"},
+]
+
+[package.dependencies]
+"backports.tarfile" = {version = "*", markers = "python_version < \"3.12\""}
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["portend", "pytest (>=6,!=8.1.1)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+
+[[package]]
+name = "jaraco-functools"
+version = "4.0.0"
+description = "Functools like those found in stdlib"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "jaraco.functools-4.0.0-py3-none-any.whl", hash = "sha256:daf276ddf234bea897ef14f43c4e1bf9eefeac7b7a82a4dd69228ac20acff68d"},
+    {file = "jaraco.functools-4.0.0.tar.gz", hash = "sha256:c279cb24c93d694ef7270f970d499cab4d3813f4e08273f95398651a634f0925"},
+]
+
+[package.dependencies]
+more-itertools = "*"
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["jaraco.classes", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
 
 [[package]]
 name = "jeepney"
 version = "0.8.0"
 description = "Low-level, pure Python DBus protocol wrapper."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -1783,76 +1716,65 @@ test = ["async-timeout", "pytest", "pytest-asyncio (>=0.17)", "pytest-trio", "te
 trio = ["async_generator", "trio"]
 
 [[package]]
-name = "jsonpatch"
-version = "1.33"
-description = "Apply JSON-Patches (RFC 6902)"
-category = "main"
+name = "kdbai-client"
+version = "0.1.1"
+description = "KDB.AI Client for Python"
 optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+python-versions = ">=3.8,<4.0"
 files = [
-    {file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"},
-    {file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
+    {file = "kdbai_client-0.1.1-py3-none-any.whl", hash = "sha256:c0ba72ede4ac755eb889510939ed7f6c91d345c59d02ee9eb44905b9cc171d2d"},
 ]
 
 [package.dependencies]
-jsonpointer = ">=1.9"
+pandas = ">=1.5.0,<2.0.0"
+pykx = ">=1.6.3,<2.0.0"
 
-[[package]]
-name = "jsonpointer"
-version = "2.4"
-description = "Identify specific nodes in a JSON document (RFC 6901)"
-category = "main"
-optional = false
-python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
-files = [
-    {file = "jsonpointer-2.4-py2.py3-none-any.whl", hash = "sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a"},
-    {file = "jsonpointer-2.4.tar.gz", hash = "sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88"},
-]
+[package.extras]
+lint = ["mypy", "mypy-gitlab-code-quality"]
+test = ["pytest (>=7.3.2,<8.0.0)", "pytest-cov (>=4.0.0,<5.0.0)", "pytest-mock"]
 
 [[package]]
 name = "keyring"
-version = "24.3.0"
+version = "25.1.0"
 description = "Store and access your passwords safely."
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "keyring-24.3.0-py3-none-any.whl", hash = "sha256:4446d35d636e6a10b8bce7caa66913dd9eca5fd222ca03a3d42c38608ac30836"},
-    {file = "keyring-24.3.0.tar.gz", hash = "sha256:e730ecffd309658a08ee82535a3b5ec4b4c8669a9be11efb66249d8e0aeb9a25"},
+    {file = "keyring-25.1.0-py3-none-any.whl", hash = "sha256:26fc12e6a329d61d24aa47b22a7c5c3f35753df7d8f2860973cf94f4e1fb3427"},
+    {file = "keyring-25.1.0.tar.gz", hash = "sha256:7230ea690525133f6ad536a9b5def74a4bd52642abe594761028fc044d7c7893"},
 ]
 
 [package.dependencies]
 importlib-metadata = {version = ">=4.11.4", markers = "python_version < \"3.12\""}
 "jaraco.classes" = "*"
+"jaraco.context" = "*"
+"jaraco.functools" = "*"
 jeepney = {version = ">=0.4.2", markers = "sys_platform == \"linux\""}
 pywin32-ctypes = {version = ">=0.2.0", markers = "sys_platform == \"win32\""}
 SecretStorage = {version = ">=3.2", markers = "sys_platform == \"linux\""}
 
 [package.extras]
 completion = ["shtab (>=1.1.0)"]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["pytest (>=6,!=8.1.1)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "langchain"
-version = "0.0.352"
+version = "0.0.298"
 description = "Building applications with LLMs through composability"
-category = "main"
 optional = false
 python-versions = ">=3.8.1,<4.0"
 files = [
-    {file = "langchain-0.0.352-py3-none-any.whl", hash = "sha256:43ab580e1223e5d7c3495b3c0cb79e2f3a0ecb52caf8126271fb10d42cede2d0"},
-    {file = "langchain-0.0.352.tar.gz", hash = "sha256:8928d7b63d73af9681fe1b2a2b99b84238efef61ed537de666160fd001f41efd"},
+    {file = "langchain-0.0.298-py3-none-any.whl", hash = "sha256:a49ec37e79be21575e0462c11a1d74fb07b58ea903e6372814f3fb490c4ac619"},
+    {file = "langchain-0.0.298.tar.gz", hash = "sha256:d8425a05aee5dc5474d2a1fae766b7e19b5b08d8facac2d4a81353ce3df80322"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.3,<4.0.0"
 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
 dataclasses-json = ">=0.5.7,<0.7"
-jsonpatch = ">=1.33,<2.0"
-langchain-community = ">=0.0.2,<0.1"
-langchain-core = ">=0.1,<0.2"
-langsmith = ">=0.0.70,<0.1.0"
+langsmith = ">=0.0.38,<0.1.0"
+numexpr = ">=2.8.4,<3.0.0"
 numpy = ">=1,<2"
 pydantic = ">=1,<3"
 PyYAML = ">=5.3"
@@ -1861,81 +1783,28 @@ SQLAlchemy = ">=1.4,<3"
 tenacity = ">=8.1.0,<9.0.0"
 
 [package.extras]
-azure = ["azure-ai-formrecognizer (>=3.2.1,<4.0.0)", "azure-ai-textanalytics (>=5.3.0,<6.0.0)", "azure-ai-vision (>=0.11.1b1,<0.12.0)", "azure-cognitiveservices-speech (>=1.28.0,<2.0.0)", "azure-core (>=1.26.4,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "azure-search-documents (==11.4.0b8)", "openai (<2)"]
+all = ["O365 (>=2.0.26,<3.0.0)", "aleph-alpha-client (>=2.15.0,<3.0.0)", "amadeus (>=8.1.0)", "arxiv (>=1.4,<2.0)", "atlassian-python-api (>=3.36.0,<4.0.0)", "awadb (>=0.3.9,<0.4.0)", "azure-ai-formrecognizer (>=3.2.1,<4.0.0)", "azure-ai-vision (>=0.11.1b1,<0.12.0)", "azure-cognitiveservices-speech (>=1.28.0,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "beautifulsoup4 (>=4,<5)", "clarifai (>=9.1.0)", "clickhouse-connect (>=0.5.14,<0.6.0)", "cohere (>=4,<5)", "deeplake (>=3.6.8,<4.0.0)", "docarray[hnswlib] (>=0.32.0,<0.33.0)", "duckduckgo-search (>=3.8.3,<4.0.0)", "elasticsearch (>=8,<9)", "esprima (>=4.0.1,<5.0.0)", "faiss-cpu (>=1,<2)", "google-api-python-client (==2.70.0)", "google-auth (>=2.18.1,<3.0.0)", "google-search-results (>=2,<3)", "gptcache (>=0.1.7)", "html2text (>=2020.1.16,<2021.0.0)", "huggingface_hub (>=0,<1)", "jinja2 (>=3,<4)", "jq (>=1.4.1,<2.0.0)", "lancedb (>=0.1,<0.2)", "langkit (>=0.0.6,<0.1.0)", "lark (>=1.1.5,<2.0.0)", "libdeeplake (>=0.0.60,<0.0.61)", "librosa (>=0.10.0.post2,<0.11.0)", "lxml (>=4.9.2,<5.0.0)", "manifest-ml (>=0.0.1,<0.0.2)", "marqo (>=1.2.4,<2.0.0)", "momento (>=1.5.0,<2.0.0)", "nebula3-python (>=3.4.0,<4.0.0)", "neo4j (>=5.8.1,<6.0.0)", "networkx (>=2.6.3,<3.0.0)", "nlpcloud (>=1,<2)", "nltk (>=3,<4)", "nomic (>=1.0.43,<2.0.0)", "openai (>=0,<1)", "openlm (>=0.0.5,<0.0.6)", "opensearch-py (>=2.0.0,<3.0.0)", "pdfminer-six (>=20221105,<20221106)", "pexpect (>=4.8.0,<5.0.0)", "pgvector (>=0.1.6,<0.2.0)", "pinecone-client (>=2,<3)", "pinecone-text (>=0.4.2,<0.5.0)", "psycopg2-binary (>=2.9.5,<3.0.0)", "pymongo (>=4.3.3,<5.0.0)", "pyowm (>=3.3.0,<4.0.0)", "pypdf (>=3.4.0,<4.0.0)", "pytesseract (>=0.3.10,<0.4.0)", "python-arango (>=7.5.9,<8.0.0)", "pyvespa (>=0.33.0,<0.34.0)", "qdrant-client (>=1.3.1,<2.0.0)", "rdflib (>=6.3.2,<7.0.0)", "redis (>=4,<5)", "requests-toolbelt (>=1.0.0,<2.0.0)", "sentence-transformers (>=2,<3)", "singlestoredb (>=0.7.1,<0.8.0)", "tensorflow-text (>=2.11.0,<3.0.0)", "tigrisdb (>=1.0.0b6,<2.0.0)", "tiktoken (>=0.3.2,<0.4.0)", "torch (>=1,<3)", "transformers (>=4,<5)", "weaviate-client (>=3,<4)", "wikipedia (>=1,<2)", "wolframalpha (==5.0.0)"]
+azure = ["azure-ai-formrecognizer (>=3.2.1,<4.0.0)", "azure-ai-vision (>=0.11.1b1,<0.12.0)", "azure-cognitiveservices-speech (>=1.28.0,<2.0.0)", "azure-core (>=1.26.4,<2.0.0)", "azure-cosmos (>=4.4.0b1,<5.0.0)", "azure-identity (>=1.12.0,<2.0.0)", "azure-search-documents (==11.4.0b8)", "openai (>=0,<1)"]
 clarifai = ["clarifai (>=9.1.0)"]
-cli = ["typer (>=0.9.0,<0.10.0)"]
 cohere = ["cohere (>=4,<5)"]
 docarray = ["docarray[hnswlib] (>=0.32.0,<0.33.0)"]
 embeddings = ["sentence-transformers (>=2,<3)"]
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@@ -2142,49 +2008,27 @@ tests = ["psutil", "pytest (!=3.3.0)", "pytest-cov"]
 
 [[package]]
 name = "marshmallow"
-version = "3.20.1"
+version = "3.21.1"
 description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
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 tests = ["pytest", "pytz", "simplejson"]
 
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-version = "7.2.1"
-description = "MinIO Python SDK for Amazon S3 Compatible Cloud Storage"
-category = "main"
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-[package.dependencies]
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-
 [[package]]
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 version = "1.6"
 description = "An implementation of time.monotonic() for Python 2 & < 3.3"
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 optional = false
 python-versions = "*"
 files = [
@@ -2194,21 +2038,19 @@ files = [
 
 [[package]]
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+version = "10.2.0"
 description = "More routines for operating on iterables, beyond itertools"
-category = "main"
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 python-versions = ">=3.8"
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 optional = false
 python-versions = "*"
 files = [
@@ -2224,29 +2066,27 @@ tests = ["pytest (>=4.6)"]
 
 [[package]]
 name = "msal"
-version = "1.26.0"
+version = "1.28.0"
 description = "The Microsoft Authentication Library (MSAL) for Python library enables your app to access the Microsoft Cloud by supporting authentication of users with Microsoft Azure Active Directory accounts (AAD) and Microsoft Accounts (MSA) using industry standard OAuth2 and OpenID Connect."
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 ]
 
 [package.dependencies]
-cryptography = ">=0.6,<44"
+cryptography = ">=0.6,<45"
 PyJWT = {version = ">=1.0.0,<3", extras = ["crypto"]}
 requests = ">=2.0.0,<3"
 
 [package.extras]
-broker = ["pymsalruntime (>=0.13.2,<0.14)"]
+broker = ["pymsalruntime (>=0.13.2,<0.15)"]
 
 [[package]]
 name = "msal-extensions"
 version = "1.1.0"
 description = "Microsoft Authentication Library extensions (MSAL EX) provides a persistence API that can save your data on disk, encrypted on Windows, macOS and Linux. Concurrent data access will be coordinated by a file lock mechanism."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -2264,93 +2104,107 @@ portalocker = [
 
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 name = "pgvector"
 version = "0.1.8"
 description = "pgvector support for Python"
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 optional = false
 python-versions = ">=3.6"
 files = [
@@ -2604,77 +2471,94 @@ numpy = "*"
 
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 ]
 
 [package.extras]
 docs = ["furo", "olefile", "sphinx (>=2.4)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinx-removed-in", "sphinxext-opengraph"]
+fpx = ["olefile"]
+mic = ["olefile"]
 tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+typing = ["typing-extensions"]
+xmp = ["defusedxml"]
 
 [[package]]
 name = "pinecone-client"
 version = "2.2.4"
 description = "Pinecone client and SDK"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -2698,29 +2582,27 @@ grpc = ["googleapis-common-protos (>=1.53.0)", "grpc-gateway-protoc-gen-openapiv
 
 [[package]]
 name = "pkginfo"
-version = "1.9.6"
+version = "1.10.0"
 description = "Query metadata from sdists / bdists / installed packages."
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.extras]
-testing = ["pytest", "pytest-cov"]
+testing = ["pytest", "pytest-cov", "wheel"]
 
 [[package]]
 name = "pluggy"
-version = "1.3.0"
+version = "1.4.0"
 description = "plugin and hook calling mechanisms for python"
-category = "dev"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -2731,7 +2613,6 @@ testing = ["pytest", "pytest-benchmark"]
 name = "portalocker"
 version = "2.8.2"
 description = "Wraps the portalocker recipe for easy usage"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -2751,7 +2632,6 @@ tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "p
 name = "postgrest"
 version = "0.10.6"
 description = "PostgREST client for Python. This library provides an ORM interface to PostgREST."
-category = "main"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
@@ -2767,14 +2647,13 @@ strenum = ">=0.4.9,<0.5.0"
 
 [[package]]
 name = "posthog"
-version = "3.1.0"
+version = "3.5.0"
 description = "Integrate PostHog into any python application."
-category = "main"
 optional = false
 python-versions = "*"
 files = [
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+    {file = "posthog-3.5.0.tar.gz", hash = "sha256:8f7e3b2c6e8714d0c0c542a2109b83a7549f63b7113a133ab2763a89245ef2ef"},
 ]
 
 [package.dependencies]
@@ -2791,30 +2670,28 @@ test = ["coverage", "flake8", "freezegun (==0.3.15)", "mock (>=2.0.0)", "pylint"
 
 [[package]]
 name = "protobuf"
-version = "4.25.1"
+version = "4.25.3"
 description = ""
-category = "main"
 optional = false
 python-versions = ">=3.8"
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 description = ".. image:: https://travis-ci.org/chtd/psycopg2cffi.svg?branch=master"
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 description = "Pygments is a syntax highlighting package written in Python."
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 version = "2.8.0"
 description = "JSON Web Token implementation in Python"
-category = "main"
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 python-versions = ">=3.7"
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+    {file = "pymongo-4.6.3.tar.gz", hash = "sha256:400074090b9a631f120b42c61b222fd743490c133a5d2f99c0208cefcccc964e"},
 ]
 
 [package.dependencies]
@@ -3261,7 +3062,6 @@ zstd = ["zstandard"]
 name = "pypdf2"
 version = "3.0.1"
 description = "A pure-python PDF library capable of splitting, merging, cropping, and transforming PDF files"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -3280,7 +3080,6 @@ image = ["Pillow"]
 name = "pyreadline3"
 version = "3.4.1"
 description = "A python implementation of GNU readline."
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -3290,14 +3089,13 @@ files = [
 
 [[package]]
 name = "pytest"
-version = "7.4.3"
+version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "pytest-7.4.3-py3-none-any.whl", hash = "sha256:0d009c083ea859a71b76adf7c1d502e4bc170b80a8ef002da5806527b9591fac"},
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+    {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
+    {file = "pytest-7.4.4.tar.gz", hash = "sha256:2cf0005922c6ace4a3e2ec8b4080eb0d9753fdc93107415332f50ce9e7994280"},
 ]
 
 [package.dependencies]
@@ -3315,7 +3113,6 @@ testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "no
 name = "pytest-asyncio"
 version = "0.20.3"
 description = "Pytest support for asyncio"
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -3334,7 +3131,6 @@ testing = ["coverage (>=6.2)", "flaky (>=3.5.0)", "hypothesis (>=5.7.1)", "mypy
 name = "pytest-cov"
 version = "4.1.0"
 description = "Pytest plugin for measuring coverage."
-category = "dev"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -3351,14 +3147,13 @@ testing = ["fields", "hunter", "process-tests", "pytest-xdist", "six", "virtuale
 
 [[package]]
 name = "python-dateutil"
-version = "2.8.2"
+version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
-category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
 files = [
-    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
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+    {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
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 ]
 
 [package.dependencies]
@@ -3368,7 +3163,6 @@ six = ">=1.5"
 name = "python-dotenv"
 version = "0.21.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -3383,7 +3177,6 @@ cli = ["click (>=5.0)"]
 name = "python-gitlab"
 version = "3.15.0"
 description = "Interact with GitLab API"
-category = "main"
 optional = false
 python-versions = ">=3.7.0"
 files = [
@@ -3403,7 +3196,6 @@ yaml = ["PyYaml (>=5.2)"]
 name = "python-multipart"
 version = "0.0.6"
 description = "A streaming multipart parser for Python"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -3418,7 +3210,6 @@ dev = ["atomicwrites (==1.2.1)", "attrs (==19.2.0)", "coverage (==6.5.0)", "hatc
 name = "python-pptx"
 version = "0.6.23"
 description = "Generate and manipulate Open XML PowerPoint (.pptx) files"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -3435,7 +3226,6 @@ XlsxWriter = ">=0.5.7"
 name = "python-semantic-release"
 version = "7.33.2"
 description = "Automatic Semantic Versioning for Python projects"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -3465,21 +3255,19 @@ test = ["coverage (>=5,<6)", "mock (==1.3.0)", "pytest (>=7,<8)", "pytest-mock (
 
 [[package]]
 name = "pytz"
-version = "2023.3.post1"
+version = "2022.7.1"
 description = "World timezone definitions, modern and historical"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
-    {file = "pytz-2023.3.post1-py2.py3-none-any.whl", hash = "sha256:ce42d816b81b68506614c11e8937d3aa9e41007ceb50bfdcb0749b921bf646c7"},
-    {file = "pytz-2023.3.post1.tar.gz", hash = "sha256:7b4fddbeb94a1eba4b557da24f19fdf9db575192544270a9101d8509f9f43d7b"},
+    {file = "pytz-2022.7.1-py2.py3-none-any.whl", hash = "sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a"},
+    {file = "pytz-2022.7.1.tar.gz", hash = "sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0"},
 ]
 
 [[package]]
 name = "pywin32"
 version = "306"
 description = "Python for Window Extensions"
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -3503,7 +3291,6 @@ files = [
 name = "pywin32-ctypes"
 version = "0.2.2"
 description = "A (partial) reimplementation of pywin32 using ctypes/cffi"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -3515,7 +3302,6 @@ files = [
 name = "pyyaml"
 version = "6.0.1"
 description = "YAML parser and emitter for Python"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -3537,6 +3323,7 @@ files = [
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+    {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"},
     {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
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@@ -3573,38 +3360,36 @@ files = [
 
 [[package]]
 name = "qdrant-client"
-version = "1.7.0"
+version = "1.8.2"
 description = "Client library for the Qdrant vector search engine"
-category = "main"
 optional = false
-python-versions = ">=3.8,<3.13"
+python-versions = ">=3.8"
 files = [
-    {file = "qdrant_client-1.7.0-py3-none-any.whl", hash = "sha256:ab5779cf3f008da2a801c943413423f1ff434128dfaeda031f037453e1fa8306"},
-    {file = "qdrant_client-1.7.0.tar.gz", hash = "sha256:bbe0656020c2f11061d7836b87e99ba6b50a028f5318459cc1fddf4ef73d9a8b"},
+    {file = "qdrant_client-1.8.2-py3-none-any.whl", hash = "sha256:ee5341c0486d09e4346b0f5ef7781436e6d8cdbf1d5ecddfde7adb3647d353a8"},
+    {file = "qdrant_client-1.8.2.tar.gz", hash = "sha256:65078d5328bc0393f42a46a31cd319a989b8285bf3958360acf1dffffdf4cc4e"},
 ]
 
 [package.dependencies]
 grpcio = ">=1.41.0"
 grpcio-tools = ">=1.41.0"
-httpx = {version = ">=0.14.0", extras = ["http2"]}
+httpx = {version = ">=0.20.0", extras = ["http2"]}
 numpy = {version = ">=1.21", markers = "python_version >= \"3.8\" and python_version < \"3.12\""}
 portalocker = ">=2.7.0,<3.0.0"
 pydantic = ">=1.10.8"
-urllib3 = ">=1.26.14,<2.0.0"
+urllib3 = ">=1.26.14,<3"
 
 [package.extras]
-fastembed = ["fastembed (==0.1.1)"]
+fastembed = ["fastembed (==0.2.5)"]
 
 [[package]]
 name = "readme-renderer"
-version = "42.0"
+version = "43.0"
 description = "readme_renderer is a library for rendering readme descriptions for Warehouse"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "readme_renderer-42.0-py3-none-any.whl", hash = "sha256:13d039515c1f24de668e2c93f2e877b9dbe6c6c32328b90a40a49d8b2b85f36d"},
-    {file = "readme_renderer-42.0.tar.gz", hash = "sha256:2d55489f83be4992fe4454939d1a051c33edbab778e82761d060c9fc6b308cd1"},
+    {file = "readme_renderer-43.0-py3-none-any.whl", hash = "sha256:19db308d86ecd60e5affa3b2a98f017af384678c63c88e5d4556a380e674f3f9"},
+    {file = "readme_renderer-43.0.tar.gz", hash = "sha256:1818dd28140813509eeed8d62687f7cd4f7bad90d4db586001c5dc09d4fde311"},
 ]
 
 [package.dependencies]
@@ -3617,26 +3402,24 @@ md = ["cmarkgfm (>=0.8.0)"]
 
 [[package]]
 name = "realtime"
-version = "1.0.2"
+version = "1.0.3"
 description = ""
-category = "main"
 optional = false
-python-versions = ">=3.8,<4.0"
+python-versions = "<4.0,>=3.8"
 files = [
-    {file = "realtime-1.0.2-py3-none-any.whl", hash = "sha256:8f8375199fd917cd0ded818702321f91b208ab72794ade0a33cee9d55ae30f11"},
-    {file = "realtime-1.0.2.tar.gz", hash = "sha256:776170a4329edc869b91e104c554cda02c8bf8e052cbb93c377e22482870959c"},
+    {file = "realtime-1.0.3-py3-none-any.whl", hash = "sha256:809b99a1c09390a4580ca2d37d84c85dffacb1804f80c6f5a4491d312c20e6e3"},
+    {file = "realtime-1.0.3.tar.gz", hash = "sha256:1a39b5dcdb345b4cc7fd43bc035feb38ca915c9248962f20d264625bc8eb2c4e"},
 ]
 
 [package.dependencies]
 python-dateutil = ">=2.8.1,<3.0.0"
 typing-extensions = ">=4.2.0,<5.0.0"
-websockets = ">=11.0,<12.0"
+websockets = ">=11,<13"
 
 [[package]]
 name = "redis"
 version = "4.5.4"
 description = "Python client for Redis database and key-value store"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -3655,7 +3438,6 @@ ocsp = ["cryptography (>=36.0.1)", "pyopenssl (==20.0.1)", "requests (>=2.26.0)"
 name = "regex"
 version = "2023.12.25"
 description = "Alternative regular expression module, to replace re."
-category = "main"
 optional = false
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@@ -3758,7 +3540,6 @@ files = [
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 version = "2.31.0"
 description = "Python HTTP for Humans."
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 python-versions = ">=3.7"
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@@ -3780,7 +3561,6 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
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@@ -3795,7 +3575,6 @@ requests = ">=2.0.1,<3.0.0"
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 version = "1.5.0"
 description = "Validating URI References per RFC 3986"
-category = "main"
 optional = false
 python-versions = "*"
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@@ -3813,7 +3592,6 @@ idna2008 = ["idna"]
 name = "secretstorage"
 version = "3.3.3"
 description = "Python bindings to FreeDesktop.org Secret Service API"
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 optional = false
 python-versions = ">=3.6"
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@@ -3829,7 +3607,6 @@ jeepney = ">=0.6"
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 python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
-greenlet = {version = "!=0.4.17", markers = "platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\""}
-typing-extensions = ">=4.2.0"
+greenlet = {version = "!=0.4.17", markers = "platform_machine == \"win32\" or platform_machine == \"WIN32\" or platform_machine == \"AMD64\" or platform_machine == \"amd64\" or platform_machine == \"x86_64\" or platform_machine == \"ppc64le\" or platform_machine == \"aarch64\""}
+typing-extensions = ">=4.6.0"
 
 [package.extras]
 aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
 aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
-aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing-extensions (!=3.10.0.1)"]
+aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing_extensions (!=3.10.0.1)"]
 asyncio = ["greenlet (!=0.4.17)"]
 asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
 mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5)"]
@@ -3966,7 +3738,7 @@ mssql-pyodbc = ["pyodbc"]
 mypy = ["mypy (>=0.910)"]
 mysql = ["mysqlclient (>=1.4.0)"]
 mysql-connector = ["mysql-connector-python"]
-oracle = ["cx-oracle (>=8)"]
+oracle = ["cx_oracle (>=8)"]
 oracle-oracledb = ["oracledb (>=1.0.1)"]
 postgresql = ["psycopg2 (>=2.7)"]
 postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
@@ -3976,13 +3748,12 @@ postgresql-psycopg2binary = ["psycopg2-binary"]
 postgresql-psycopg2cffi = ["psycopg2cffi"]
 postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
-sqlcipher = ["sqlcipher3-binary"]
+sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
 name = "starlette"
 version = "0.25.0"
 description = "The little ASGI library that shines."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -4000,7 +3771,6 @@ full = ["httpx (>=0.22.0)", "itsdangerous", "jinja2", "python-multipart", "pyyam
 name = "storage3"
 version = "0.5.3"
 description = "Supabase Storage client for Python."
-category = "main"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
@@ -4017,7 +3787,6 @@ typing-extensions = ">=4.2.0,<5.0.0"
 name = "strenum"
 version = "0.4.15"
 description = "An Enum that inherits from str."
-category = "main"
 optional = false
 python-versions = "*"
 files = [
@@ -4034,7 +3803,6 @@ test = ["pylint", "pytest", "pytest-black", "pytest-cov", "pytest-pylint"]
 name = "supabase"
 version = "1.0.3"
 description = "Supabase client for Python."
-category = "main"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
@@ -4055,7 +3823,6 @@ supafunc = ">=0.2.2,<0.3.0"
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 version = "0.2.2"
 description = "Library for Supabase Functions"
-category = "main"
 optional = false
 python-versions = ">=3.7,<4.0"
 files = [
@@ -4070,7 +3837,6 @@ httpx = ">=0.23.0,<0.24.0"
 name = "sympy"
 version = "1.12"
 description = "Computer algebra system (CAS) in Python"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -4085,7 +3851,6 @@ mpmath = ">=0.19"
 name = "tenacity"
 version = "8.2.3"
 description = "Retry code until it succeeds"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -4100,7 +3865,6 @@ doc = ["reno", "sphinx", "tornado (>=4.5)"]
 name = "tiktoken"
 version = "0.2.0"
 description = ""
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -4134,110 +3898,121 @@ requests = ">=2.26.0"
 
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 name = "tokenizers"
-version = "0.15.0"
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 description = ""
-category = "main"
 optional = false
 python-versions = ">=3.7"
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@@ -4252,7 +4027,6 @@ testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests"]
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 version = "2.0.1"
 description = "A lil' TOML parser"
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 python-versions = ">=3.7"
 files = [
@@ -4262,26 +4036,24 @@ files = [
 
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-version = "4.66.1"
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-category = "main"
 optional = false
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 version = "3.8.0"
 description = "Collection of utilities for publishing packages on PyPI"
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
@@ -4319,33 +4090,30 @@ urllib3 = ">=1.26.0"
 
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 description = "Typing stubs for python-dateutil"
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 optional = false
-python-versions = "*"
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 ]
 
 [[package]]
 name = "typing-extensions"
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 [package.extras]
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+socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
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 name = "uvicorn"
 version = "0.20.0"
 description = "The lightning-fast ASGI server."
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -4480,7 +4160,7 @@ h11 = ">=0.8"
 httptools = {version = ">=0.5.0", optional = true, markers = "extra == \"standard\""}
 python-dotenv = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
 pyyaml = {version = ">=5.1", optional = true, markers = "extra == \"standard\""}
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 websockets = {version = ">=10.4", optional = true, markers = "extra == \"standard\""}
 
@@ -4491,7 +4171,6 @@ standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)",
 name = "uvloop"
 version = "0.19.0"
 description = "Fast implementation of asyncio event loop on top of libuv"
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 python-versions = ">=3.8.0"
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@@ -4534,32 +4213,19 @@ test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)"
 
 [[package]]
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@@ -4645,14 +4311,13 @@ anyio = ">=3.0.0"
 
 [[package]]
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+    {file = "websockets-12.0.tar.gz", hash = "sha256:81df9cbcbb6c260de1e007e58c011bfebe2dafc8435107b0537f393dd38c8b1b"},
 ]
 
 [[package]]
 name = "wheel"
-version = "0.42.0"
+version = "0.43.0"
 description = "A built-package format for Python"
-category = "main"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "wheel-0.42.0-py3-none-any.whl", hash = "sha256:177f9c9b0d45c47873b619f5b650346d632cdc35fb5e4d25058e09c9e581433d"},
-    {file = "wheel-0.42.0.tar.gz", hash = "sha256:c45be39f7882c9d34243236f2d63cbd58039e360f85d0913425fbd7ceea617a8"},
+    {file = "wheel-0.43.0-py3-none-any.whl", hash = "sha256:55c570405f142630c6b9f72fe09d9b67cf1477fcf543ae5b8dcb1f5b7377da81"},
+    {file = "wheel-0.43.0.tar.gz", hash = "sha256:465ef92c69fa5c5da2d1cf8ac40559a8c940886afcef87dcf14b9470862f1d85"},
 ]
 
 [package.extras]
@@ -4762,7 +4427,6 @@ test = ["pytest (>=6.0.0)", "setuptools (>=65)"]
 name = "win32-setctime"
 version = "1.1.0"
 description = "A small Python utility to set file creation time on Windows"
-category = "main"
 optional = false
 python-versions = ">=3.5"
 files = [
@@ -4775,21 +4439,19 @@ dev = ["black (>=19.3b0)", "pytest (>=4.6.2)"]
 
 [[package]]
 name = "xlsxwriter"
-version = "3.1.9"
+version = "3.2.0"
 description = "A Python module for creating Excel XLSX files."
-category = "main"
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "XlsxWriter-3.1.9-py3-none-any.whl", hash = "sha256:b61c1a0c786f82644936c0936ec96ee96cd3afb9440094232f7faef9b38689f0"},
-    {file = "XlsxWriter-3.1.9.tar.gz", hash = "sha256:de810bf328c6a4550f4ffd6b0b34972aeb7ffcf40f3d285a0413734f9b63a929"},
+    {file = "XlsxWriter-3.2.0-py3-none-any.whl", hash = "sha256:ecfd5405b3e0e228219bcaf24c2ca0915e012ca9464a14048021d21a995d490e"},
+    {file = "XlsxWriter-3.2.0.tar.gz", hash = "sha256:9977d0c661a72866a61f9f7a809e25ebbb0fb7036baa3b9fe74afcfca6b3cb8c"},
 ]
 
 [[package]]
 name = "yarl"
 version = "1.9.4"
 description = "Yet another URL library"
-category = "main"
 optional = false
 python-versions = ">=3.7"
 files = [
@@ -4891,25 +4553,23 @@ multidict = ">=4.0"
 
 [[package]]
 name = "zipp"
-version = "3.17.0"
+version = "3.18.1"
 description = "Backport of pathlib-compatible object wrapper for zip files"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
-    {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
+    {file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"},
+    {file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "zstandard"
 version = "0.22.0"
 description = "Zstandard bindings for Python"
-category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
@@ -4973,4 +4633,4 @@ postgresql = ["psycopg2cffi"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "faee443484703064055dd3e4f93b97c660157f45855594e27153837b8edcd262"
+content-hash = "a013488b0e57d34b1d9edb36fa310ae9ac78fa55731a9e72e7740e5b1ac9fbd3"
diff --git a/pyproject.toml b/pyproject.toml
index 1ba7bf7cc..b99a4fa92 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -24,7 +24,6 @@ arrow = "^1.2.3"
 chromadb = "^0.3.25"
 pinecone-client = "^2.1.0"
 weaviate-client = "^3.12.0"
-pymilvus = "^2.2.2"
 qdrant-client = {version = "^1.0.4", python = "<3.12"}
 redis = "4.5.4"
 supabase = "^1.0.2"
@@ -36,6 +35,8 @@ pgvector = "^0.1.7"
 psycopg2cffi = {version = "^2.9.0", optional = true}
 loguru = "^0.7.0"
 elasticsearch = "8.8.2"
+pykx = "^1.6.3"
+kdbai_client = "^0.1.1"
 pymongo = "^4.3.3"
 
 [tool.poetry.scripts]
diff --git a/services/__init__.py b/services/__init__.py
new file mode 100644
index 000000000..e69de29bb