ksm26/AI-Agents-in-LangGraph

Master the art of building and enhancing AI agents. Learn to develop flow-based applications, implement agentic search, and incorporate human-in-the-loop systems using LangGraph's powerful components.

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Covers stateful agent design with multi-threaded persistence for conversation management and state reloading, plus structured agentic search for retrievable knowledge augmentation. Teaches LangGraph's core graph-based architecture for decomposing agent logic into reusable nodes and edges, with practical patterns for essay-writing workflows. Integrates LangChain's LLM ecosystem and Tavily's search capabilities to demonstrate production-grade agent composition.

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Last pushed

Jun 20, 2024

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