Mastering LangChain
Mastering LangChain, Apress
A Comprehensive Guide to Building Generative AI Applications
Von Sanath Raj B Narayan, Nitin Agarwal, im heise shop in digitaler Fassung erhältlich
A Comprehensive Guide to Building Generative AI Applications
Von Sanath Raj B Narayan, Nitin Agarwal, im heise shop in digitaler Fassung erhältlich
Produktinformationen "Mastering LangChain"
This book provides a comprehensive exploration of LangChain, empowering you to
effectively harness large language models (LLMs) for Gen AI applications. It
focuses on practical implementation and techniques, making it a valuable
resource for learning LangChain.
The book starts with foundational topics such as environment setup and building
basic chains, then delves into key components such as prompt templates, tool
integration, and memory management. You will also explore practical topics such
as output parsing, embedding models, and developing chatbots and
retrieval-augmented generation (RAG) systems. Additional chapters focus on
integrating LangChain with other AI tools and deploying applications while
emphasizing best practices for AI ethics and performance.
By the time you finish this book, you’ll have the know-how to confidently build
Generative AI solutions using LangChain. Whether you're exploring practical
applications or curious about the latest trends, this guide gives you the tools
and insights to solve real-world AI problems. You’ll be ready to design smart,
data-driven applications—and rethink how you approach Generative AI.
What You Will Learn
- Understand the core ideas, architecture, and essential features of the LangChain framework
- Create advanced LLM-driven workflows and applications that address real-world challenges
- Develop robust Retrieval-Augmented Generation (RAG) systems using LangChain, vector databases, and proven best practices for retrieving and generating high-quality responses
Artikel-Details
- Anbieter:
- Apress
- Autor:
- Sanath Raj B Narayan, Nitin Agarwal
- Artikelnummer:
- 9798868817182
- Veröffentlicht:
- 15.10.25
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