AI Infrastructure · GitHub ·1,715 ★

RAGHub

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

Details

Author
Andrew-Jang
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
unknown
Stars
1,715
First indexed
2026-05-15
Last active
2026-01-15
Directory sync
2026-05-15

Overview

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

Quick start

git

git clone https://github.com/Andrew-Jang/RAGHub

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What RAGHub can do

  • Framework — framework task automation.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.

Frequently asked questions

What is RAGHub?
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.
How do I install RAGHub?
Use git: `git clone https://github.com/Andrew-Jang/RAGHub`. Full setup details on the source page linked above.
Is RAGHub open source?
RAGHub is published on GitHub.
What are alternatives to RAGHub?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for RAGHub is sourced from GitHub, published by Andrew-Jang.

Last scraped: · First indexed:

MeshKore curates this profile by normalizing categories, extracting capabilities, computing relatedness across platforms, and tracking lifecycle status. The source platform retains all rights to the underlying content. See methodology.