Andrew-Jang/RAGHub resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1989 stars · 182 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A community-driven curated directory of RAG (Retrieval-Augmented Generation) frameworks, engines, evaluation tools, and resources. It helps developers discover and compare the fast-growing RAG ecosystem, including guidance on choosing frameworks and vector databases.

Use cases

• find rag frameworks for building llm apps
• compare rag engines like ragflow and dify
• choose a vector database for semantic search
• stay updated on new retrieval-augmented generation tools
• evaluate rag frameworks for document question answering
• learn what rag is and how it reduces hallucinations

When to choose

• you're researching which RAG framework or engine to adopt
• you want a curated, community-maintained overview of the RAG ecosystem
• you need guidance comparing vector databases and LLM integrations

When to avoid

• you need runnable software rather than a catalog of links
• you want official documentation for a specific framework
• you need a benchmark with reproducible metrics rather than a directory

Facets

learning-resource · maturity active

rag search-engine documentation large-language-models artificial-intelligence awesome-lists awesome-list curated-directory rag-frameworks community-driven llm-ecosystem retrieval-augmented-generation web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Andrew-Jang/RAGHub")