tidyverse/ragnar

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

🦛 CHONK docs with Chonkie ✨ — The lightweight ingestion library for fast, efficient and robust RAG pipelines

🥤 RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with DuckDB or PostgreSQL

Open-source tool to visualise your RAG 🔮

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

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

The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.

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.

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.