Danielskry/Awesome-RAG resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1349 stars · 196 forks observed · 2026-08-28

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

A curated awesome list cataloging tools, frameworks, techniques, and learning materials for building Retrieval-Augmented Generation (RAG) systems. It organizes the RAG ecosystem into sections covering architecture patterns, frameworks, evaluation metrics, databases, and production best practices.

Use cases

• find frameworks for building a RAG pipeline
• learn retrieval-augmented generation from scratch
• compare vector databases for grounding LLM answers
• evaluate RAG system quality with metrics
• discover advanced RAG techniques like hybrid search or reranking
• prepare a RAG system for production deployment

When to choose

• you need a curated map of the RAG ecosystem before picking tools
• you are learning RAG concepts and want authoritative links and tutorials
• you want references for RAG evaluation, architecture patterns, and best practices

When to avoid

• you need runnable RAG software rather than a link collection
• you want a maintained library or framework with code to integrate
• you need deep technical detail on a single RAG component

Facets

learning-resource · maturity active

rag documentation developer-tools large-language-models artificial-intelligence awesome-lists tutorials awesome-list curated-resources generative-ai llm resource-map retrieval-augmented-generation web-server

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markdown · JSON · MCP: product_card(name="Danielskry/Awesome-RAG")