Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph

A comprehensive guide for developers creating AI and Large Language Model (LLM) applications. The book covers fundamental concepts such as prompt engineering and retrieval-augmented generation (RAG), explaining how to integrate external data and manage conversational memory. It thoroughly explores various cognitive architectures like chains, routers, and sophisticated agent designs with reflection capabilities, demonstrating how LangGraph facilitates stateful and multi-step AI application development. Additionally, the text provides practical insights into deploying, testing, evaluating, and monitoring LLM applications, emphasizing security best practices and continuous improvement throughout the development lifecycle.

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