Modern Vector Database Development: Designing AI Search Applications with Embeddings, Semantic Retrieval, RAG Pipelines, and Scalable Data Systems
by Alden Dacre
Modern Vector Database Development introduces the core concepts behind AI search applications, including embeddings, semantic retrieval, RAG pipelines, and scalable data systems. It offers a focused overview for readers interested in understanding how vector databases support the development of modern, intelligent search experiences.
About This Book
Modern Vector Database Development explores the technologies and design considerations behind AI search applications.
The book covers embeddings, semantic retrieval, and retrieval-augmented generation (RAG) pipelines.
It also addresses scalable data systems and the role of vector databases in developing modern search solutions.
Written by Alden Dacre, this title is focused on the technical foundations of building AI-powered search applications.
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