rag-qa

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muqadasejaz / PDF-QA-RAG-System

A PDF Question-Answering App built with RAG (Retrieval-Augmented Generation), allowing users to upload PDFs and ask context-based questions. Powered by Streamlit, LangChain, Ollama, and Chroma for efficient and accurate answers.

llama pdf-reader streamlit vector-database generative-ai langchain chromadb ollama llama3 pdf-rag pdf-question-answering rag-qa

Updated Sep 16, 2025
Python

rupamsamanta123 / PDF-QA-RAG-System

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📄 Transform your PDF documents into actionable insights with this RAG-based Question-Answering App for efficient and accurate responses.

python ai llama pdf-reader mistral rag openai-api ai-agent llm generative-ai langchain langfuse rag-evaluation llama3 rag-application pdf-rag pdf-question-answering rag-qa

Updated Jul 27, 2026
Python

tarakbandhara / Contexta-A_RAG_Powered_Document_Q_and_A_Assistant

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A RAG-powered document Q&A assistant with adaptive chunking, calibrated retrieval, and streaming responses — built as a hands-on learning project, with the genuine debugging journey documented in the README.

python chatbot document rag llm langchain chainlit retrival-augmented-generation rag-qa

Updated Aug 2, 2026
Python

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