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Here is a quick breakdown of what the article covers:
* **The Shift:** Traditional RAG follows a rigid, linear pipeline (`Retrieve -> Generate`). **Agentic RAG** introduces dynamic, self-correcting loops using the LLM as a reasoning engine within a state machine.
* **Why LangGraph:** Unlike standard DAG (Directed Acyclic Graph) pipelines, LangGraph supports **cyclic workflows** (loops), enabling self-evaluation, error handling, and tool re-invocations.
* **Core Architecture:** Built around three elements:
* **State:** A shared dictionary (`AgentState`) tracking history and variables across steps.
* **Nodes:** Python functions that execute steps (agent reasoning, evaluation, web search).
* **Edges:** Conditional routes that direct execution flow based on state evaluation.
* **Production Best Practices:** Always enforce **iteration limits** to prevent infinite loops, use **lightweight models** for evaluators to reduce latency, and keep evaluation separate from tool execution.
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