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Chat with your PDF With Amazon Bedrock, RAG, S3, Dynamo DB for chat storing Langchain and Streamlit

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A Retrieval-Augmented Generation (RAG) system built on Amazon Bedrock. Admins upload PDFs, which are chunked, vectorized by a Titan Embedding Model, and stored in FAISS. User queries trigger a similarity search to retrieve relevant context for LLM-generated answers.

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