elder-plinius/CL4R1T4S
CL4R1T4S is a project that provides transparency by collecting and sharing the hidden system prompts and guidelines used by major AI models and agents to promote trust and understanding of AI behavior.
Awesome AI Agents › LLM Research Repositories
DavidZWZ/Awesome-RAG-Reasoning
Awesome-RAG-Reasoning is a curated bibliography that gathers papers, tools and implementations at the intersection of retrieval-augmented generation and reasoning in large language models and agents. It is the companion repository to the survey Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs, and follows that paper taxonomy. The premise is that the two research lines developed largely independently and address complementary weaknesses. Retrieval grounds a model in external, up-to-date knowledge but can pull in irrelevant or wrong passages and is bounded by the quality of the corpus. Reasoning improves multi-step inference and systematic problem solving but tends to hallucinate facts and struggles with domain-specific or recent information. The collection organises work along the resulting axes: reasoning-enhanced retrieval, where reasoning steps decide what and when to retrieve; retrieval-enhanced reasoning, where retrieved evidence supports a chain of inference; and synergised systems where the two interleave, which is where agentic behaviour appears, with a model issuing searches, evaluating results and continuing to reason. Entries cover the search and deep-research direction in particular, linking to a sibling list on agentic deep research that tracks both academic work and commercial deep research products. The repository includes taxonomy and framework diagrams, citation entries for the two underlying surveys, and an open contribution process. There is no runnable code here; the value is the organised reading list and the conceptual map that goes with it. The intended readers are researchers and practitioners building agentic RAG systems, reasoning-capable search agents or multi-agent pipelines that need both grounded knowledge and structured inference, and who want an entry point into a literature that is spread across separate communities with separate benchmarks. It is MIT licensed and actively maintained.
https://github.com/DavidZWZ/Awesome-RAG-Reasoning
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