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Image 1 of 3: Cover of LangChain in Action by Deepak Kamboj

Published BPB Publications

LangChain in Action

Author: Deepak Kamboj

Architecting multi-modal and context-aware agents

Build production-ready AI agents with LangChain, multimodal reasoning, persistent memory, RAG, autonomous workflows, and multi-agent collaboration.

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What you will learn

  • Move from your first LangChain workflow to production-ready agentic systems
  • Combine vision, voice and text in multimodal agent workflows
  • Give agents persistent memory that carries context across interactions
  • Ground responses with retrieval (RAG) and multi-hop reasoning
  • Build autonomous workflows that plan, choose tools and complete tasks
  • Coordinate specialized agents through multi-agent collaboration patterns

What’s inside

Multimodal agents

Connect vision, voice, text, and other inputs into cohesive agent workflows.

Persistent memory

Design context-aware systems that retain useful information across interactions.

RAG and reasoning

Ground responses with retrieval and solve complex tasks through multi-hop reasoning.

Autonomous execution

Build reliable workflows that plan, select tools, and complete real-world tasks.

Vision and voice

Create richer applications that can see, listen, understand, and respond.

Multi-agent systems

Coordinate specialized agents through practical collaboration patterns.

Why I wrote this book

People often ask what it takes to build AI agents that actually work outside of a demo. The answer is learning how to connect reasoning, memory, retrieval, multimodal inputs, and autonomous execution into a system that is reliable in the real world.

This book takes you from your first LangChain workflow to production-ready agentic systems with vision, voice, persistent memory, RAG, multi-hop reasoning, and multi-agent collaboration. Every chapter draws on practical engineering patterns that matter when moving from prototypes to real applications.

I am deeply grateful to everyone who reviewed chapters, shared ideas, challenged assumptions, and helped make the book stronger. I hope it becomes a practical resource you keep coming back to as you build the next generation of AI applications.

Portrait of Deepak Kamboj

About the author

Deepak Kamboj is a Senior Software Engineer and AI systems architect with 25+ years of experience. He works on the Playwright test ecosystem, AI agents and the Model Context Protocol, and writes and speaks about building them in practice.

More about Deepak