diff --git a/ai-vectors/rag-langchain/README.md b/ai-vectors/rag-langchain/README.md
index 92b471c..d356355 100644
--- a/ai-vectors/rag-langchain/README.md
+++ b/ai-vectors/rag-langchain/README.md
@@ -1,8 +1,8 @@
-# Implementing Retrieval-Augmented Generation with IBM Db2 and LangChain on RHEL 9.4
+# Implementing Retrieval-Augmented Generation with IBM Db2, watsonx.ai, LangChain
 
 ## Introduction
 
-This README presents step-by-step instructions for implementing a Retrieval-Augmented Generation (RAG) use case using IBM Db2 and LangChain on Red Hat Enterprise Linux (RHEL) 9.4. In a recent Early Access Program (EAP), Db2 introduced a native vector data type and vector similarity search functionality. Leveraging these capabilities, I have implemented a complete RAG pipeline with LangChain and Python in a Jupyter Notebook. Customers with access to this EAP build can try out these features in a non-production setup.
+This README presents step-by-step instructions for implementing a Retrieval-Augmented Generation (RAG) use case using IBM Db2, watsonx.ai, and LangChain. The complete is available in the [`rag-basic.ipynb`](rag-basic.ipynb) notebook in the same folder,  In March 2025 Early Access Program (EAP) build , Db2 introduced a native vector data type and vector similarity search functionality. Leveraging these capabilities, I have implemented a complete RAG pipeline with LangChain and Python in a Jupyter Notebook. Customers with access to [this](http://ibm.biz/db2_early_access_program) EAP build can try out these features in a non-production setup.  
 
 ## Understanding Retrieval-Augmented Generation
 
@@ -61,9 +61,8 @@ These enhancements allow Db2 to efficiently store and process high-dimensional d
 
 ## Implementing the RAG Pipeline
 
-### 1. Setting Up the Environment on RHEL 9.4
-
-To begin, ensure that your system is running RHEL 9.4 and has Python 3.12 installed. Starting from RHEL 9.4, Python 3.12 is available in the default package manager.
+### 1. Setting Up the Python Environment
+I created this tutorial on RHEL 9.4 using Python 3.12. Below are the steps I followed to set up the Python environment on RHEL 9.4.
 
 **Installing Python 3.12**
 
@@ -209,27 +208,4 @@ PWD=your_db2_password
 - `UID`: Username for Db2 authentication.
 - `PWD`: Password for the Db2 user.
 
-**Loading Variables in Python:**
-
-To utilize these variables in your Python code, ensure you have the `python-dotenv` library installed:
-
-```bash
-pip install python-dotenv
-```
-
-
-Then, in your Python script or notebook, load the variables as follows:
-
-```python
-import os
-from dotenv import load_dotenv
-
-load_dotenv()
-
-watsonx_project = os.getenv('WATSONX_PROJECT')
-watsonx_apikey = os.getenv('WATSONX_APIKEY')
-db2_database = os.getenv('DATABASE')
-db2_hostname = os.getenv('HOSTNAME')
-db2_port = os.getenv('PORT')
-db2_protocol = os.getenv('PROTOCOL')
-db2_uid
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+Now, open the notebook ['rag-basic.ipynb'](rag-basic.ipynb) and run it. 
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