Simple RAG Pipeline
- We ingest docs into vector databases after chunking and embedding
- We make the vector store as retriever
- when a question is asked we get similar docs (chunks)
- Now lets pass that chunks into prompt and to llm to generate a response
Prompt Templates
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Refer Here to this notebook
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Exercise:
- convert each text into pdf and try using pypfloader.
