MaxMLang/RAG-nificent
Production-ready Chainlit RAG application with Pinecone pipeline offering all Groq and OpenAI Models, to chat with your documents.
Quickly get precise answers and citations from your extensive PDF documents, like research papers or policy guidelines, by asking questions in plain language. You input your collection of PDFs, and the system provides direct answers with page numbers, helping you verify the information. This is for researchers, policy makers, or anyone needing to swiftly navigate large document sets.
No commits in the last 6 months.
Use this if you need to extract specific, cited information from a large set of custom PDFs without manually sifting through each document.
Not ideal if you're looking for real-time information from the web or need to analyze data that isn't primarily text-based in PDF format.
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Language
Python
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Last pushed
Aug 19, 2025
Commits (30d)
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