RAGBOT

RAGBOT

Real-time Chat Interface with React and RAG from scratch

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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.
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RAGBOT gallery image
Free
Launch tags:Artificial Intelligence•GitHub•Tech
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Wispr Flow: Dictation That Works Everywhere
Wispr Flow: Dictation That Works Everywhere
Stop typing. Start speaking. 4x faster.
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Anass MAJJI
Maker
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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 and allows efficient search through a collection of documents. The project includes functionality for document processing and chunk management, stored in an SQLite database.