Ollama in Practice: Applications & Advanced Techniques: Build Real-World RAG Systems, Automations, and Deploy Local AI Apps
暫譯: Ollama 實務應用：應用與進階技術：構建真實世界的 RAG 系統、自動化及部署本地 AI 應用程式

Unlock the power of local large language models (LLMs) and build high-value AI applications with "Ollama in Practice: Applications & Advanced Techniques". Designed for developers, tech leads, and AI practitioners, this hands-on guide takes you from functional prototypes to production-ready local AI systems.

You'll discover how to architect real-world solutions using Ollama, integrate with frameworks like LangChain and LlamaIndex, deploy vector search and retrieval-augmented generation (RAG) pipelines, and scale end-to-end: batching, caching, and containerizing for multi-user environments. Along the way you'll automate workflows such as summarization, classification and extraction, and explore business-critical use cases-from legal, finance and compliance to offline field tools and creative content engines.

With ready-to-use templates, deployment checklists and code snippets, this book not only teaches you what to do, but how to build it. Whether you're securing data in regulated industries or enabling fast local inference at the edge, you'll come away with a blueprint that delivers measurable results. Transform experimentation into production-grade local AI-empowered, private, and scalable.