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retrival

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This implements a Retrieval-Augmented Generation (RAG) system using Streamlit, LangChain, and Hugging Face for interactive question-answering based on JioPay Business Customer services and all the other information as a knowledge base. The architecture integrates document embedding, retrieval, and generative AI

  • Updated Jun 5, 2025
  • Jupyter Notebook

Explore the evolution of Retrieval-Augmented Generation (RAG) through three progressively sophisticated pipelines built with Langflow: Naive RAG (basic retrieval), Advanced RAG (semantic chunking + re-ranking + hallucination control), and Modular RAG (multi-store routing with LLM-powered query classification).

  • Updated May 9, 2026

A complete end-to-end RAG system that scrapes Britannica's France geography content, creates vector embeddings, and provides intelligent Q&A capabilities through a FastAPI backend and beautiful Streamlit UI.

  • Updated Jul 17, 2025
  • Jupyter Notebook

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