Feature/ LanceDB integration

[raghavdixit99]

Hi,
I have added the code for LanceDB vector store class.
supports:

• init_collection
• upsert/bulk upsert
• filtered search ( have added metadata filtering support as well but we should decide on a schema for main PR )
• filtered deletion
• unique values in metadata

TODO : Code cleanup/minor fixes pending along with final schema. Add docs wherever necessary.

Testing :

I tested via adding an example, added configs/local_ollama_lancedb.json and tested via run_test_client.py.

facing an issue in bulk insert have commented the code in r2r/main/app.py which I think is causing the issue, storage happens in embedding.py via upsert_entries, but it is being called sequentially so bulk insert isnt happening, and the run() method doesnt accept list() it accepts a single DocumentPage class.

If I am doing something wrong here please let me know, otherwise would need to request some changes in the r2r code.

Thanks

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🚀 This description was created by Ellipsis for commit 74e9b5b

Summary:

Integrates LanceDB as a new vector database provider, enhancing the system's capabilities with metadata filtering and addressing bulk insert issues.

Key points:

• Added LanceDB integration for vector storage and retrieval.
• Modified configuration and core files to support LanceDB.
• Addressed bulk insert issues and added metadata filtering.
• Tested integration with example client and configurations.

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[raghavdixit99]

hi @emrgnt-cmplxty , could you have a look at the dev PR, will raise an official one once I get some clarity on the above as well as the metadata schema.

[ellipsis-dev]

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