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This project provides a real-time Chat Interface powered by a custom-built Retrieval Augmented Generation (RAG) pipeline, developed from scratch. It incorporates both frontend (React) and backend (FastAPI) components, supporting file uploads, document chunking, embedding generation, and semantic search for efficient document retrieval. The system enables plugging any LLM for document retrieval...
RAGBOTReal-time Chat Interface with React and RAG from scratch
This project provides a real-time chat interface with a custom RAG pipeline, featuring a React frontend and FastAPI backend. It supports file uploads, document chunking, and semantic search, while storing data in an SQLite database.
RAGBOTReal-time Chat Interface with React and RAG from scratch