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Generative AI
Explore discussions on generative artificial intelligence techniques and applications within the Databricks Community. Share ideas, challenges, and breakthroughs in this cutting-edge field.
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Advanced RAG Retrieval (Reranking, Hierarchical, etc) in Databricks

meetiasha
New Contributor II

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.

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