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Retrieval-Augmented Generation Made Practical: From Chunking and Embeddings to Multimodal Projects
Retrieval-Augmented Generation Made Practical takes you beyond theory and into the real-world applications of RAG. Whether you’re a developer, researcher, or AI enthusiast, this book will help you understand and apply Retrieval-Augmented Generation step by step.
Inside, you’ll
Clear explanations of RAG concepts, pipelines, and architectures
How to work with chunking, embeddings, and retrieval methods
A comparison of RAG, fine-tuning, and hybrid approaches
Insights into multimodal RAG and advanced concepts
Hands-on projects, including building practical RAG applications with Python
By the end, you’ll not only understand how RAG works but also be able to build and experiment with your own projects.
This book is perfect for learners who want a balance of theory, clarity, and practical coding experience in the rapidly growing field of LLMs.
Inside, you’ll
Clear explanations of RAG concepts, pipelines, and architectures
How to work with chunking, embeddings, and retrieval methods
A comparison of RAG, fine-tuning, and hybrid approaches
Insights into multimodal RAG and advanced concepts
Hands-on projects, including building practical RAG applications with Python
By the end, you’ll not only understand how RAG works but also be able to build and experiment with your own projects.
This book is perfect for learners who want a balance of theory, clarity, and practical coding experience in the rapidly growing field of LLMs.
95 pages, Kindle Edition
Published September 18, 2025
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