Hyperscale Vector Indexes and Composite Vector Indexes support for couchbase #372
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bilgeyucel
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Nov 7, 2025
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bilgeyucel
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bilgeyucel
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Thank you for the PR @shyam-cb! I left some comments on formatting
| - [More Examples](#more-examples) | ||
| - [License](#license) | ||
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| ## Breaking Changes in Version 2.0.0 |
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| ## Breaking Changes in Version 2.0.0 | |
| ### Breaking Changes in Version 2.0.0 |
| An integration of [Couchbase](https://www.couchbase.com) NoSQL database with [Haystack v2.0](https://docs.haystack.deepset.ai/docs/intro) | ||
| by [deepset](https://www.deepset.ai). In Couchbase [Vector search index](https://docs.couchbase.com/server/current/vector-search/vector-search.html) | ||
| is being used for indexing document embeddings and dense retrievals. | ||
| An integration of [Couchbase](https://www.couchbase.com) NoSQL database with [Haystack v2.0](https://docs.haystack.deepset.ai/v2.0/docs/intro) |
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| An integration of [Couchbase](https://www.couchbase.com) NoSQL database with [Haystack v2.0](https://docs.haystack.deepset.ai/v2.0/docs/intro) | |
| An integration of [Couchbase](https://www.couchbase.com) NoSQL database with [Haystack](https://docs.haystack.deepset.ai/docs/intro) |
| ## Breaking Changes in Version 2.0.0 | ||
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| > **Important Note:** | ||
| > In version 2.0.0, the following component names have been changed: |
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Is this Couchbase version or Haystack version?
| ### Retrievers | ||
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| - **CouchbaseSearchEmbeddingRetriever**: A typical [retriever component](https://docs.haystack.deepset.ai/docs/retrievers) which can be used to query the vector store index and find related Documents. The component uses `CouchbaseSearchDocumentStore` to query embeddings. | ||
| In addition to the document stores, the library includes the following [retriever components](https://docs.haystack.deepset.ai/v2.0/docs/retrievers): |
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| In addition to the document stores, the library includes the following [retriever components](https://docs.haystack.deepset.ai/v2.0/docs/retrievers): | |
| In addition to the document stores, the library includes the following [retriever components](https://docs.haystack.deepset.ai/docs/retrievers): |
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| Both document stores store Documents as JSON documents in Couchbase. Embeddings are stored as part of the document, with indexing and querying managed by different Couchbase services depending on the document store type. | ||
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| ## Choosing the Right Document Store |
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| ## Choosing the Right Document Store | |
| ### Choosing the Right Document Store |
| --- | ||
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| **Table of Contents** | ||
| # Table of Contents |
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Let's revert this change
| **Table of Contents** | ||
| # Table of Contents | ||
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| - [Breaking Changes in Version 2.0.0](#breaking-changes-in-version-200) |
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The only valid items for ToC are Overview, Installation, Usage and License
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| - [Breaking Changes in Version 2.0.0](#breaking-changes-in-version-200) |
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| - [Breaking Changes in Version 2.0.0](#breaking-changes-in-version-200) | ||
| - [Overview](#overview) | ||
| - [Choosing the Right Document Store](#choosing-the-right-document-store) |
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| - [Choosing the Right Document Store](#choosing-the-right-document-store) |
| #### Indexing Documents with CouchbaseSearchDocumentStore | ||
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| With Haystack you can use [DocumentWriter](https://docs.haystack.deepset.ai/docs/documentwriter) component to write Documents into a Document Store. In the example below we construct pipeline to write documents to Couchbase using `CouchbaseDocumentStore`: | ||
| With Haystack you can use [DocumentWriter](https://docs.haystack.deepset.ai/v2.0/docs/documentwriter) component to write Documents into a Document Store. In the example below we construct pipeline to write documents to Couchbase using `CouchbaseSearchDocumentStore`: |
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| With Haystack you can use [DocumentWriter](https://docs.haystack.deepset.ai/v2.0/docs/documentwriter) component to write Documents into a Document Store. In the example below we construct pipeline to write documents to Couchbase using `CouchbaseSearchDocumentStore`: | |
| With Haystack you can use [DocumentWriter](https://docs.haystack.deepset.ai/docs/documentwriter) component to write Documents into a Document Store. In the example below we construct pipeline to write documents to Couchbase using `CouchbaseSearchDocumentStore`: |
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