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RAG Pipeline (AI Backend) #3

@nischaldinesh

Description

@nischaldinesh
  • Figuring out which model to use for RAG

  • Adding pg vector extension to the relational database

  • Python scripts to embed the data in databases to vector search

  • completion llm [use Eleven Labs by creating different branches and compare with different models]

  • Image recognition pipeline: Test this functionality by curl

  • RAG Pipeline: Accept user query -> retrieve similar text chunks from vector DB -> completion llm to generate answer

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