000			01946nam a22002297a 4500
005			20260805131944.0
008			260805s2025 |||||||| |||| 00| 0 eng d
020			_a9781098167288
040			_cPK-LaUMT
082			_a006.3 _bOSH-L
100	1		_aOshin, Mayo _914804
245	1	0	_aLearning LangChain : _bbuilding AI and LLM applications with LangChain and LangGraph / _cMayo Oshin and Nuno Campos
260			_aSebastopol : _bO'Reilly Media, Inc., _c2025
300			_axxv, 267 p.
500			_aIndex present
520			_aIf you're looking to build production-ready AI applications that can reason and retrieve external data for context-awareness, you'll need to master LangChain--a popular development framework and platform for building, running, and managing agentic applications. LangChain is used by several leading companies, including Zapier, Replit, Databricks, and many more. This guide is an indispensable resource for developers who understand Python or JavaScript but are beginners eager to harness the power of AI. Authors Mayo Oshin and Nuno Campos demystify the use of LangChain through practical insights and in-depth tutorials. Starting with basic concepts, this book shows you step-by-step how to build a production-ready AI agent that uses your data. Harness the power of retrieval-augmented generation (RAG) to enhance the accuracy of LLMs using external up-to-date data Develop and deploy AI applications that interact intelligently and contextually with users Make use of the powerful agent architecture with LangGraph Integrate and manage third-party APIs and tools to extend the functionality of your AI applications Monitor, test, and evaluate your AI applications to improve performance Understand the foundations of LLM app development and how they can be used with LangChain
546			_aEng
650			_aMachine learning
650			_aComputer programming
700	1		_aCampos, Nuno _914805
942			_cBK
999			_c141922 _d141922