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Agentic AI Systems with LangChain + MCP + RAG + Ollama: Build Real-World Intelligent Agents with Modular Tools, Local LLMs, and Retrieval-Augmented Reasoning
Build not just agents — build infrastructure.
In a world moving beyond simple LLM chats, this is the book that hands you the full blueprint for constructing real, autonomous, and production-ready AI systems.
Whether you're a developer, researcher, or systems engineer, this guide shows you exactly how to wire together the most powerful open-source tools — LangChain, MCP, RAG, and Ollama — into agents that can reason, call tools, search documents, and operate fully offline.
This is not about APIs and copy-paste code. This is about engineering agents that use tools, collaborate with other agents, retrieve knowledge, execute securely, and scale without limits.
You'll learn how
Build modular, fully-local AI agents that don’t rely on OpenAI or the cloud
Expose Python functions, shell commands, and web services as tools using the Model Context Protocol (MCP)
Retrieve answers from embedded documents using Retrieval-Augmented Generation (RAG) with FAISS or Chroma
Host open LLMs like Mistral, LLaMA, and Phi using Ollama — and switch between them for performance and specialization
Compose agents with memory, error handling, prompt strategy, and fallback planning
Design collaborative multi-agent systems with role-specific tools, validators, and shared memory
Deploy and monitor your entire stack using Docker, structured logging, and caching strategies
Create your own scalable MCP tool registry — the foundation of intelligent AI infrastructure
Extend to file parsing, PDF processing, multilingual tasks, and even image-based workflows
Future-proof your systems with ethical, secure, and maintainable agentic patterns
This book doesn’t just show you what’s possible — it shows you how to build it, optimize it, and ship it.
From startups building copilots, to enterprise teams creating internal knowledge agents, to solo developers exploring the future of AI automation — this book is your field manual.
Juicy, hands-on, and architected for reality.
This is agentic AI without the fluff. Just tools. Just code. Just power.
If you're serious about building intelligent software that does things —
this is the most important book you'll own.
In a world moving beyond simple LLM chats, this is the book that hands you the full blueprint for constructing real, autonomous, and production-ready AI systems.
Whether you're a developer, researcher, or systems engineer, this guide shows you exactly how to wire together the most powerful open-source tools — LangChain, MCP, RAG, and Ollama — into agents that can reason, call tools, search documents, and operate fully offline.
This is not about APIs and copy-paste code. This is about engineering agents that use tools, collaborate with other agents, retrieve knowledge, execute securely, and scale without limits.
You'll learn how
Build modular, fully-local AI agents that don’t rely on OpenAI or the cloud
Expose Python functions, shell commands, and web services as tools using the Model Context Protocol (MCP)
Retrieve answers from embedded documents using Retrieval-Augmented Generation (RAG) with FAISS or Chroma
Host open LLMs like Mistral, LLaMA, and Phi using Ollama — and switch between them for performance and specialization
Compose agents with memory, error handling, prompt strategy, and fallback planning
Design collaborative multi-agent systems with role-specific tools, validators, and shared memory
Deploy and monitor your entire stack using Docker, structured logging, and caching strategies
Create your own scalable MCP tool registry — the foundation of intelligent AI infrastructure
Extend to file parsing, PDF processing, multilingual tasks, and even image-based workflows
Future-proof your systems with ethical, secure, and maintainable agentic patterns
This book doesn’t just show you what’s possible — it shows you how to build it, optimize it, and ship it.
From startups building copilots, to enterprise teams creating internal knowledge agents, to solo developers exploring the future of AI automation — this book is your field manual.
Juicy, hands-on, and architected for reality.
This is agentic AI without the fluff. Just tools. Just code. Just power.
If you're serious about building intelligent software that does things —
this is the most important book you'll own.
252 pages, Kindle Edition
Published April 25, 2025
7 people are currently reading
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