Build RAG and Agentic AI Applications with LLMs, MCP, and LangChain Agents
langchain==1.3.10 and langgraph==1.2.6
Equip yourself with the skills to design, deploy, and scale robust agentic systems. This definitive LangChain and LangGraph book provides production-ready strategies for advanced AI orchestration.
Explore the core fundamentals of Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and AI Agents. Discover how their limitations and challenges can be overcome with framework integrations.
Gain absolute mastery over LangChain v1.0 concepts including Chat Models, Prompt Templates, Custom Output Parsers, Document Loaders, Text Splitters, Embeddings, Vector Stores, and Retrievers.
Dive deep into LangGraph v1.0. Build complex, cyclic, multi-agent pipelines leveraging checkpointers, state persistence, persistent human-in-the-loop controls, time-travel, and real-time streaming.
Learn how to connect custom tools and APIs using the Model Context Protocol (MCP). Design and architect production-grade Agentic systems and stateful multi-agent workflows optimized for real-world enterprise constraints.
A comprehensive chapter-by-chapter outline of this LangGraph and LangChain book. Explore how the material is structured from fundamentals to production-ready enterprise systems.
Designed to level up engineers ready to build state-of-the-art AI orchestration pipelines.
Engineers ready to implement custom chatbots, data extraction tools, and interactive agents with sophisticated system-level frameworks.
Architects looking to build reliable, stateful systems with advanced memory management, human verification steps, and multiple model integrations.
Tech leaders and builders looking to stay at the absolute forefront of developments, transitioning from basic prompt templates to automated agents.
