Awesome-RAG-Reasoning and agentic-rag
The first project, a collection of resources, complements the second project, an implementation of Agentic RAG, by providing foundational knowledge and research to support its development and understanding.
About Awesome-RAG-Reasoning
DavidZWZ/Awesome-RAG-Reasoning
[EMNLP 2025] Awesome RAG Reasoning Resources
Curates papers, benchmarks, and implementations across three integration patterns: reasoning-enhanced RAG (optimizing retrieval and generation), RAG-enhanced reasoning (grounding with external knowledge), and synergized systems using iterative retrieval-reasoning loops. Organizes taxonomy covering chain/tree/graph-based workflows, single/multi-agent orchestration, and tool-using approaches within agentic AI frameworks. Provides evaluation resources spanning single/multi-hop QA, fact-checking, summarization, and domain-specific tasks alongside code implementations.
About agentic-rag
FareedKhan-dev/agentic-rag
Agentic RAG to achieve human like reasoning
Implements a multi-stage agentic pipeline with specialized tools (Librarian, Analyst, Scout) coordinated through deliberate reasoning nodes—Gatekeeper for validation, Planner for orchestration, Auditor for self-correction, and Strategist for causal inference. Builds knowledge from structure-aware document parsing, LLM-generated metadata, and hybrid vector/relational stores, then stress-tests robustness through adversarial Red Team challenges and evaluation across retrieval quality, reasoning correctness, and cost metrics.
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