superlinear-ai/raglite

Ship RAG based LLM web apps in seconds.

RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.

A toolkit to create optimal Production-readyRetrieval Augmented Generation(RAG) setup for your data

Generic rag framework to apply the power of LLMs on any given dataset

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

🔥 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.

Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.

RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry

Build fast and accurate GenAI apps with GraphRAG SDK at scale 🌟