Awesome-Deep-Research and Awesome-RAG-Reasoning
These are complementary resources: deep research systems use agentic workflows to iteratively refine queries and gather information, while RAG reasoning systems focus on improving how retrieved documents are synthesized into answers—both techniques are often combined in production agentic-RAG pipelines.
About Awesome-Deep-Research
DavidZWZ/Awesome-Deep-Research
[Up-to-date] Awesome Agentic Deep Research Resources
This resource provides a curated collection of materials for anyone interested in using AI-powered autonomous agents to conduct in-depth research. It offers a comprehensive guide to cutting-edge tools and methodologies in "Agentic Deep Research." The repository aims to inform researchers and developers about existing domain trends and future directions in this field.
About Awesome-RAG-Reasoning
DavidZWZ/Awesome-RAG-Reasoning
[EMNLP 2025] Awesome RAG Reasoning Resources
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.
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