May 2025
Intermediate to advanced
484 pages
11h 25m
English
Overview
Dive deep into real-world LangChain applications with 'Generative AI with LangChain'. This comprehensive guide covers everything from multi-agent architectures, testing practices, to production-ready deployment techniques. By reading this book, you'll gain a solid foundation in building scalable and secure AI systems using the latest LangChain and LangGraph technologies.
What this Book will help me do
- Develop production-ready AI systems using LangChain and LangGraph.
- Explore multi-agent architectures for scalable and robust AI applications.
- Apply advanced RAG pipelines for improved output accuracy.
- Integrate cutting-edge LLM technologies from major providers.
- Master testing, monitoring, and ethical practices for AI systems.
Author(s)
Ben Auffarth and Leonid Kuligin bring extensive expertise in artificial intelligence and system architecture. Ben's background in data engineering and decision intelligence, coupled with Leonid's experience in AI systems design and practical solutions, offer a comprehensive approach to teaching. Their collaborative writing combines technical depth with an engaging learning style.
Who is it for?
This book is perfect for software developers and researchers looking to implement LangChain and LangGraph in AI projects. It's especially suitable for professionals planning enterprise-scale AI deployments. Readers should have basic Python knowledge and an interest in large language models.
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