mmariappan/end-to-end-rag-architecture
End-to-end architecture for document-centric conversational AI
This tool transforms static PDF documents like manuals, whitepapers, or research reports into interactive knowledge bases. You upload your PDFs and can then ask natural language questions to get accurate, source-grounded answers. This is for anyone who needs to quickly extract specific information or summarize content from multiple PDF documents without manually sifting through them.
Use this if you need to quickly find information, understand complex documents, or summarize content from many PDFs and want to see exactly which parts of the document contributed to the answer.
Not ideal if you primarily work with scanned images of documents without selectable text or need to interact with highly structured data like tables and forms in a database-like fashion.
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Language
Python
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Last pushed
Nov 08, 2025
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