# Agentic RAG
- [RAGで「AIエージェント」を使う手法まとめ](https://zenn.dev/knowledgesense/articles/64975fb9377f82)
- [\[2501.09136\] Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG](https://arxiv.org/abs/2501.09136)
- 2025.01
- 設計パターン
- Reflection(自己反省)
- Planning(計画)
- Tool Use(ツール利用)
- Multi-Agent Collaboration(マルチエージェント協力)
- 既存の RAG
- Naïve RAG
- Advanced RAG
- Modular RAG
- Graph RAG
- Agentic RAG
- アーキテクチャ
- シングルエージェント型
- マルチエージェント型
- 階層型エージェント
- Corrective RAG(セルフチェック付きRAG)
- [RAGの新しい手法「CRAG」を3分で理解する](https://zenn.dev/knowledgesense/articles/bb5e15abb3c547)
- [\[2401.15884\] Corrective Retrieval Augmented Generation](https://arxiv.org/abs/2401.15884)
- Adaptive RAG(適応型RAG)
- [RAGに質問分類させる「Adaptive-RAG」の解説](https://zenn.dev/knowledgesense/articles/8c23c35fa715c9)
- [\[2403.14403\] Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity](https://arxiv.org/abs/2403.14403)
- Graph-Based Agentic RAG
- Agent-G
- GeAR
- [What is Agentic RAG | Weaviate](https://weaviate.io/blog/what-is-agentic-rag)
- AI agent-based implementation of RAG
- Architecture
- Single-Agent RAG (Router)
- Multi-agent RAG Systems
- vs. (Vanilla) RAG
- Access to external tools
- Query pre-processing
- Multi-step retrieval
- Validation of retrieved information
- Agent Frameworks
- DSPy
- LangChain
- LlamaIndex
- CrewAI
- Swarm
- Letta