Название: LangChain in Action (MEAP v6)
Автор: Roberto Infante
Издательство: Manning Publications
Год: 2025
Страниц: 480
Язык: английский
Формат: pdf, epub
Размер: 29.8 MB

Build amazing business applications using LangChain and LLMs.

The LangChain library radically simplifies the process of building production-quality AI applications. It provides a set of intuitive abstractions for the core features of an LLM-based application, along with tools to help you orchestrate those features into a functioning system. LangChain in Action provides clear diagrams and abundant code samples that teach you exactly how to build useful LangChain-based AI apps.

In LangChain in Action you’ll learn vital skills of developing applications with LLMs, including
Design patterns for LLM applications, including Retrieval Augmented Generation (RAG)
Using LangChain to implement LLM solutions
Picking the right LLMs for your projects
Deploying an LLM anywhere—from your laptop to the cloud
Fine tuning an existing LLM for your exact needs

Building applications based on LLMs isn’t limited to huge tech companies with unlimited resources. LangChain in Action teaches you to use the user-friendly LangChain library to create your own research assistants, information enterprise chatbots, and more. There’s no long technical deep dives or academic jargon—the book’s pragmatic approach gives you just enough theory to start building working apps.

about the book
LangChain in Action demystifies the most complex techniques of building LLM-based applications, including deploying open-source LLMs locally and fine-tuning them for specific applications. You’ll start from the ground up: LLM architecture, how to adapt them to your needs, and the advanced prompt engineering techniques you’ll need to succeed. From there, you’ll quickly move on to developing effective LLM-powered projects—from a simple tool to summarize documents, to a research assistant that can reliably use the web, a semantic search chatbot, and implementing advanced Retrieval Augmented Generation.

about the reader
For Python programmers. You only need to know the absolute basics of LLMs to get started—no advanced knowledge required.






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