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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:
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.
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.The book explains the topic really well. It's clear and does not go into irrelevant details. I really enjoyed it.
This is a great introduction for any software engineer looking for practical explanation of how LangChain and LLM's can be used to develop AI based applications.
The book begins with the basics but it builds understanding using well thought-out examples and encourages the user to begin experimenting from the start, The author does not mince words and dumb-down definitions, rather boldly embraces all these concepts and sheds light on them to make them understandable to a wide variety of readers.
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