AgenticRAG-Survey
★ 1.7k·Updated 2025-10-20
This repository serves as a comprehensive survey on Agentic Retrieval-Augmented Generation (Agentic RAG), a transformative AI paradigm integrating autonomous agents into RAG pipelines. It details foundational principles, taxonomy, comparative analysis, real-world applications, challenges, and future directions for researchers and practitioners.
#Agentic RAG#LLM#AI Agents#Information Retrieval#AI Survey
01
Features
01Comprehensive exploration of Agentic Patterns like reflection, planning, and tool use.
02Detailed taxonomy of Agentic RAG systems, including single-agent, multi-agent, and hierarchical architectures.
03Comparative analysis highlighting distinctions between Traditional RAG, Agentic RAG, and Agentic Document Workflows (ADW).
04Discussion of various Agentic Workflow Patterns for dynamic collaboration and efficiency (e.g., Prompt Chaining, Routing, Parallelization).
05Identification of key challenges and future research directions for Agentic RAG, covering scalability, ethical AI, and multimodal integration.
02
Compatibility
Crew AI
Supported
Verified via docs
LangChain
Supported
Verified via docs
Chroma
Supported
Verified via docs
LangGraph
Partial
Verified via docs
Anthropic
Partial
Verified via docs
03
Quick start
1
$ git clone https://github.com/asinghcsu/AgenticRAG-Survey.git
04
Use cases
↳Enhanced medical diagnostics and information retrieval in healthcare.
↳Advanced financial analysis and risk assessment.
↳Streamlined legal research and compliance analysis.
05
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