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The Ollama Handbook: Build Powerful Local AI Applications with Open-Source LLMs, RAG, Agents, and Automation
Paperback
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ISBN13: 9798185137765
Publisher: Independently Published
Published: Jul 1 2026
Pages: 188
Weight: 0.68
Height: 0.40 Width: 6.69 Depth: 9.61
Language: English
Publisher: Independently Published
Published: Jul 1 2026
Pages: 188
Weight: 0.68
Height: 0.40 Width: 6.69 Depth: 9.61
Language: English
The Ollama Handbook: Build Powerful Local AI Applications with Open-Source LLMs, RAG, Agents, and Automation Artificial intelligence is no longer limited to cloud platforms and expensive APIs. With Ollama, you can run powerful open-source large language models directly on your own computer, giving you greater privacy, lower costs, and complete control over your AI applications. Whether you're a developer, software engineer, data professional, student, or AI enthusiast, The Ollama Handbook provides the practical knowledge you need to build modern local AI solutions with confidence.
Starting with the fundamentals, this book guides you through installing and configuring Ollama, understanding how large language models work, selecting the right open-source models, and mastering prompt engineering. From there, you'll learn how to develop AI-powered applications using the Ollama CLI, REST API, and Python while integrating advanced technologies such as Retrieval-Augmented Generation (RAG), vector databases, AI agents, LangChain, LlamaIndex, and Open WebUI.
Moving beyond theory, you'll build intelligent chatbots, private knowledge assistants, document processing systems, workflow automation tools, and production-ready AI applications. You'll also discover practical techniques for optimizing performance, managing memory and context, securing local AI deployments, troubleshooting common issues, and integrating multiple AI components into complete end-to-end platforms. Inside this book, you'll learn how to:
Install, configure, and manage Ollama effectively.
Run and customize open-source LLMs using Modelfiles.
Build applications with the Ollama CLI, REST API, and Python.
Implement Retrieval-Augmented Generation (RAG) using embeddings and vector databases.
Develop autonomous AI agents with tool calling and workflow automation.
Integrate Ollama with LangChain, LlamaIndex, and Open WebUI.
Optimize performance, resource usage, and production deployments.
Apply responsible AI, privacy, and security best practices.
Build real-world AI projects that you can extend for personal or professional use.
Throughout the book, you'll find practical examples, complete code samples, reusable prompt templates, command references, troubleshooting guidance, and proven development practices that help you move from experimentation to building reliable AI applications.
If you're ready to unlock the full potential of local AI and build intelligent, private, and production-ready applications without relying on cloud-based services, The Ollama Handbook is the practical guide you've been looking for. Get your copy today and start building the next generation of local AI applications with Ollama.
Moving beyond theory, you'll build intelligent chatbots, private knowledge assistants, document processing systems, workflow automation tools, and production-ready AI applications. You'll also discover practical techniques for optimizing performance, managing memory and context, securing local AI deployments, troubleshooting common issues, and integrating multiple AI components into complete end-to-end platforms. Inside this book, you'll learn how to:
Install, configure, and manage Ollama effectively.
Run and customize open-source LLMs using Modelfiles.
Build applications with the Ollama CLI, REST API, and Python.
Implement Retrieval-Augmented Generation (RAG) using embeddings and vector databases.
Develop autonomous AI agents with tool calling and workflow automation.
Integrate Ollama with LangChain, LlamaIndex, and Open WebUI.
Optimize performance, resource usage, and production deployments.
Apply responsible AI, privacy, and security best practices.
Build real-world AI projects that you can extend for personal or professional use.
Throughout the book, you'll find practical examples, complete code samples, reusable prompt templates, command references, troubleshooting guidance, and proven development practices that help you move from experimentation to building reliable AI applications.
If you're ready to unlock the full potential of local AI and build intelligent, private, and production-ready applications without relying on cloud-based services, The Ollama Handbook is the practical guide you've been looking for. Get your copy today and start building the next generation of local AI applications with Ollama.
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