DavidZWZ/Awesome-RAG-Reasoning

[EMNLP 2025] Awesome RAG Reasoning Resources

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This collection helps AI researchers and practitioners develop advanced AI systems that can accurately answer complex questions and solve problems. It brings together resources on combining external knowledge retrieval with sophisticated logical thinking, providing a roadmap for building more capable AI agents. Researchers, AI developers, and system architects working on advanced AI applications would use this.

408 stars.

Use this if you are a researcher or AI developer working on building advanced AI systems that require both factual accuracy from retrieved information and complex logical problem-solving capabilities.

Not ideal if you are a business user looking for a pre-built, off-the-shelf AI solution rather than resources for developing new AI system architectures.

AI research Large Language Models AI system design Agentic AI AI development

No Package No Dependents

Maintenance 10 / 25

Adoption 10 / 25

Maturity 15 / 25

Community 15 / 25

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Stars

408

Forks

Language

—

License

MIT

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Awesome-RAG-Reasoning and ragbits Awesome-RAG-Reasoning and agentic-rag-for-dummies Awesome-RAG-Reasoning and Awesome-Deep-Research Awesome-RAG-Reasoning and deep-thinking-rag Awesome-RAG-Reasoning and agentic-rag

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