Modern Vector Database Development: Designing AI Search Applications with Embeddings, Semantic Retrieval, RAG Pipelines, and Scalable Data Systems
Language: English
Published by Independently published, 2026
- Softcover
- New
Seller: California Books, Miami, FL, U.S.A.California Books
AbeBooks seller since October 27, 2023
Condition: New
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- Title
- Modern Vector Database Development: Designing AI Search Applications with Embeddings, Semantic Retrieval, RAG Pipelines, and Scalable Data Systems
- Author
- Dacre, Alden
- Publisher
- Independently published
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798172191428
Modern Vector Database Development provides a practical guide to designing and understanding the technologies behind AI-powered search applications. From embeddings and semantic retrieval to Retrieval-Augmented Generation (RAG) pipelines, this book explains the concepts and architectures that enable modern intelligent systems.
Readers will explore how vector databases help applications discover relationships, understand context, and retrieve information based on meaning rather than simple keyword matching.
Inside this book, you will learn:
- The fundamentals of vector databases and their role in artificial intelligence applications
- How embeddings transform text, images, and other information into searchable vector representations
- The principles behind semantic retrieval and meaning-based search
- How vector indexing improves search performance and relevance
- Designing AI search applications using modern retrieval techniques
- Building Retrieval-Augmented Generation (RAG) pipelines with vector-based storage
- Connecting vector databases with large language models and AI workflows
- Understanding scalable data system architecture for AI applications
- Managing high-dimensional data efficiently
- Improving reliability, speed, and performance in intelligent retrieval systems
- Practical approaches for developing real-world AI solutions
Vector database technology provides the foundation behind many emerging AI solutions, including intelligent assistants, recommendation engines, document search platforms, and knowledge-based applications.
This book helps readers understand how these systems are designed, how different components work together, and how developers can apply these concepts when building next-generation AI applications.
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California Books
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AbeBooks seller since October 27, 2023
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