NovaSearch-Team /RAG-Retrieval

Andrew-Jang/RAGHub

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.

neuml/rag

🚀 Retrieval Augmented Generation (RAG) with txtai. Combine search and LLMs to find insights with your own data.

DataScienceUIBK/Rankify

🔥 Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation 🔥. Our toolkit integrates 40 pre-retrieved benchmark datasets and supports 7+ retrieval techniques, 24+ state-of-the-art Reranking models, and multiple RAG methods.

automataIA/graphrag-rs

▲ +2 ★ this week

GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural language querying with configurable entity extraction and local LLM integration

neuml/txtchat

⚡ Local chat assistants with AI superpowers

telekom/create-tsi

Create-tsi is a generative AI RAG toolkit which generates AI Applications with low code.