Corrective-RAG by Grecil

Telegram bot that answers questions over your PDFs using retrieval-augmented generation (LangChain + FAISS). Maintained by Leon-Sander on GitHub, where it has earned 48 stars from the community.

An intelligent customer support system powered by LangGraph and LangChain that uses Retrieval-Augmented Generation (RAG) to provide accurate, context-aware responses to customer queries. Built with FastAPI, FAISS, and multi-stage validation for production-ready deployment. Maintained by amine-akrout on GitHub, where it has earned 21 stars from the community.

RAGify is designed to enhance search capabilities using Retrieval-Augmented Generation (RAG). By combining traditional web search with AI-driven contextual understanding, RAGify retrieves relevant information from the web and generates concise, human-readable summaries. Maintained by pcastiglione99 on GitHub, where it has earned 31 stars from the community.