Tongji-KGLLM/RAG-Survey resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2138 stars · 130 forks observed · 2026-08-28

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

A survey repository for Retrieval-Augmented Generation (RAG) for large language models, accompanying the arXiv paper 'Retrieval-Augmented Generation for Large Language Models: A Survey'. It includes curated papers, slides, and the OpenRAG Base Notion knowledge base of RAG resources.

Use cases

• learn about retrieval-augmented generation for LLMs
• find RAG research papers and benchmarks
• understand RAG paradigms and augmentation methods
• compare RAG vs fine-tuning approaches
• find RAG evaluation methods and toolkits
• stay updated on modular RAG research

When to choose

• you need a comprehensive curated overview of RAG research
• you are starting research or practice in retrieval-augmented generation
• you want a dynamically updated knowledge base of RAG papers, datasets, and tools

When to avoid

• you need production RAG software or a runnable framework
• you want code implementations rather than survey material

Facets

learning-resource · maturity active

rag nlp documentation large-language-models artificial-intelligence tutorials survey-paper awesome-list knowledge-base academic-research notion retrieval-augmented-generation web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Tongji-KGLLM/RAG-Survey")