RAGHub: A Directory of Tools for Retrieval-Augmented Generation (RAG) Welcome to RAGHub, a living collection of new and emerging frameworks, projects, and resources in the Retrieval-Augmented Generation (RAG) ecosystem. This is a community-driven project for r/RAG, where we aim to catalog the rapid growth of RAG tools and projects that are pushing the boundaries of the field.
#This is a chnage
Each day, it feels like a new tool or framework emerges, and choosing the right one is becoming more of an art than a science. Is the framework from three months ago still relevant? Or was it just hype, rehashing old concepts with a fresh look? RAGHub exists to help you stay ahead of these changes, providing a platform for the latest innovations in RAG.
This is a community project, and we welcome contributions from everyone! If you’d like to add a new framework, project, or resource, please check out our Contribution Guidelines for details on how to get started.
- RAGHub: A Directory of Tools for Retrieval-Augmented Generation (RAG)
- How to Contribute
- Table of Contents
- RAG Frameworks
- RAG Evaluation and Optimization Frameworks
- RAG Engines
- RAG Data Preparation Frameworks
- RAG Projects
- RAG Resources and Sites
- Model LeaderBoards
- License
- Join the Conversation