Definition
Agentic RAG combines retrieval-augmented generation with autonomous agent capabilities for more sophisticated information retrieval.
- **How It Differs from Basic RAG:**
- Basic RAG: Query → Retrieve → Generate
- Agentic RAG: Query → Plan → Multi-step Retrieve → Reason → Generate
Key Capabilities: - Query decomposition - Multi-source retrieval - Iterative refinement - Tool use for retrieval - Self-correction
- **Architecture Patterns:**
- Router: Choose appropriate retrieval strategy
- Planner: Break complex queries into sub-queries
- Critic: Evaluate and refine responses
Frameworks: - LangGraph - LlamaIndex Agents - CrewAI for multi-agent RAG
Examples
An agent that breaks down "Compare Q3 earnings across tech companies" into multiple searches and synthesizes.
Related Terms
A technique combining information retrieval with text generation to improve accuracy.
An autonomous AI system that can plan, take actions, and complete tasks with minimal human intervention.
The ability of AI models to use external tools, APIs, and functions to extend their capabilities.
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