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AI Beginners Bundle
Build the next generation of AI applications with this practical bundle that combines local AI development and Retrieval-Augmented Generation. Learn how to create private AI assistants with Ollama, connect language models to your own knowledge, and deploy intelligent, production-ready systems using modern open source tools. Packed with hands-on examples, real-world projects, and production best practices, these books give you the skills to build smarter, more reliable AI solutions from start to finish.
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The following 2 books are included in this bundle...
These books have a total suggested price of $58.00. Get them now for only $25.00!
About
About the Bundle
Build modern AI applications from the ground up with this practical two-book collection. Learn how to create private AI assistants that run locally with Ollama and build intelligent Retrieval-Augmented Generation (RAG) systems that connect language models to your own data.
Whether you're a developer, AI engineer, student, or technology professional, this bundle provides step-by-step guidance, real-world projects, and production-ready code to help you design, build, and deploy powerful AI solutions.
Included:
The Ollama Assistant Handbook Learn how to install Ollama, run open-source language models locally, build AI assistants with memory, tools, voice, vision, automation, and deploy secure, production-ready applications.
Retrieval-Augmented Generation Master the complete RAG pipeline, including embeddings, vector databases, semantic search, LangChain, LlamaIndex, ChromaDB, Pinecone, evaluation, optimization, and enterprise deployment.
Together, these books provide everything you need to build private, intelligent, and scalable AI applications using today's leading open-source tools.
Books
About the Books
The Ollama Assistant Handbook
Build a Personal AI Assistant Locally: From Installation to Production Deployment
You do not need cloud APIs, massive infrastructure, or six-figure budgets to build a capable, private, production-grade AI assistant. This book takes you from installing Ollama on your machine to deploying a full-featured local assistant with tools, memory, voice, vision, and automation. Every chapter contains working code, terminal commands, configuration files, and architecture explanations you can run immediately. Whether you are a beginner exploring local AI for the first time or an experienced practitioner building agentic systems at scale, this book is your practical reference for the complete Ollama ecosystem.
Retrieval-Augmented Generation
A Comprehensive Guide to Building Intelligent Search-Powered AI Systems
Large language models are powerful but fundamentally limited -- they hallucinate facts, carry stale knowledge, and cannot access your organization's private data. Retrieval-Augmented Generation (RAG) solves these problems by connecting LLMs to external knowledge sources at inference time. This book takes you from the foundational concepts of RAG through advanced production implementation, covering architecture design, embedding strategies, vector databases, retrieval techniques, evaluation frameworks, security considerations, and real-world deployment patterns. Every chapter includes practical Python code examples using LangChain, LlamaIndex, ChromaDB, Pinecone, and other popular tools, so you can build, deploy, and scale RAG systems with confidence.
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