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Building Agentic AI Systems with LangChain, MCP, RAG, and Ollama: A Practical Guide to Designing Local AI Agents, Modular Tooling, and Retrieval-Augme
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Publisher: Independently Published
Published: Dec 7 2025
Pages: 222
Weight: 0.87
Height: 0.47 Width: 7.00 Depth: 10.00
Language: English
Inside, you will discover how to design modular tools, integrate Python functions and shell commands, build RAG pipelines with FAISS or Chroma, run models like LLaMA, Mistral, and Phi locally, and orchestrate collaborative multi-agent environments that can validate, plan, and execute complex tasks. Every chapter is focused on showing you not only what to build, but how and why it works.
Whether you are creating internal enterprise copilots, building automation agents, developing knowledge assistants, or experimenting with advanced agent architectures, this book gives you the technical foundation and real-world patterns to engineer systems that are reliable, autonomous, and scalable.
If you are serious about building intelligent software that does more than generate text-software that retrieves information, calls tools, makes decisions, and completes tasks-this is the most important guide you will read. Step inside the next generation of AI development and learn how to create systems that think and act with purpose.
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