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DOC: advanced RAG Retrieval (Reranking, Hierarchical, etc) in Databricks #29058

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Kushagra0409 opened this issue Jan 7, 2025 · 0 comments
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🤖:docs Changes to documentation and examples, like .md, .rst, .ipynb files. Changes to the docs/ folder

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@Kushagra0409
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Kushagra0409 commented Jan 7, 2025

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  • I added a very descriptive title to this issue.
  • I included a link to the documentation page I am referring to (if applicable).

Issue with current documentation:

I wish to perform advanced RAG using langchain, in Databricks. In the documentation, they tell how to use the vector endpoint url, and index stored in catalogs. But I could not find any advanced RAG algos that are easily implemented in Databricks. Can you please advise me on a step-wise documentation on how I can proceed with this task?

I would appreciate if we can implement advanced RAG with minimum reliance on catalogs and endpoints, but rather langchain-exclusive tools that make stuff easier to do

Idea or request for content:

Seperate sections- each with a advanced rag technique, and how to use that in Databricks with minimum reliance on catalogs and endpoints, but rather langchain-exclusive tools that make stuff easier to do.

@dosubot dosubot bot added the 🤖:docs Changes to documentation and examples, like .md, .rst, .ipynb files. Changes to the docs/ folder label Jan 7, 2025
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