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Add support for Couchbase vector store (#1901)

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* add couchbase vector store support

* add docs + minor changes

* Fix lint issues

* remove stray lines

* Add required validation and minor changes

* Address Comments

---------

Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@langflow.org>
This commit is contained in:
Prajwal Pai 2024-05-23 18:36:21 +05:30 • committed by GitHub
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docs/docs/components/vector-stores.mdx
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@ -26,7 +26,8 @@ The `Astra DB` initializes a vector store using Astra DB from records. It create
- **Collection Indexing Policy:** Indexing policy for the collection.
<Admonition type="note" title="Note">
Ensure you configure the necessary Astra DB token and API endpoint before starting.
Ensure you configure the necessary Astra DB token and API endpoint before
starting.
</Admonition>
---
@ -96,6 +97,44 @@ For detailed documentation and integration guides, please refer to the [Chroma C
---
### Couchbase
`Couchbase` builds a Couchbase vector store from records, streamlining the storage and retrieval of documents.
**Parameters:**
- **Embedding:** Model used by Couchbase.
- **Input:** Documents or records.
- **Couchbase Cluster Connection String:** Cluster Connection string.
- **Couchbase Cluster Username:** Cluster Username.
- **Couchbase Cluster Password:** Cluster Password.
- **Bucket Name:** Bucket identifier in Couchbase.
- **Scope Name:** Scope identifier in Couchbase.
- **Collection Name:** Collection identifier in Couchbase.
- **Index Name:** Index identifier.
For detailed documentation and integration guides, please refer to the [Couchbase Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/couchbase).
---
### Couchbase Search
`CouchbaseSearch` leverages the Couchbase component to search for documents based on similarity metric.
**Parameters:**
- **Input:** Search query.
- **Embedding:** Model used in the Vector Store.
- **Couchbase Cluster Connection String:** Cluster Connection string.
- **Couchbase Cluster Username:** Cluster Username.
- **Couchbase Cluster Password:** Cluster Password.
- **Bucket Name:** Bucket identifier.
- **Scope Name:** Scope identifier.
- **Collection Name:** Collection identifier in Couchbase.
- **Index Name:** Index identifier.
---
### FAISS
The `FAISS` component manages document ingestion into a FAISS Vector Store, optimizing document indexing and retrieval.
@ -278,7 +317,8 @@ For more details, see the [PGVector Component Documentation](https://python.lang
For detailed documentation, refer to the [Redis Documentation](https://python.langchain.com/docs/integrations/vectorstores/redis).
<Admonition type="note" title="Note">
Ensure the Redis server URL and index name are configured correctly. Provide a schema if no documents are available.
Ensure the Redis server URL and index name are configured correctly. Provide a
schema if no documents are available.
</Admonition>
---
@ -389,7 +429,8 @@ For more information, consult the [Vectara Component Documentation](https://pyth
For more details, see the [Weaviate Component Documentation](https://python.langchain.com/docs/integrations/vectorstores/weaviate).
<Admonition type="note" title="Note">
Ensure Weaviate instance is running and accessible. Verify API key, index name, text key, and attributes are set correctly.
Ensure Weaviate instance is running and accessible. Verify API key, index
name, text key, and attributes are set correctly.
</Admonition>
---