Vector Databases
Language: English
Published by O'Reilly Media, US, 2026
- Softcover
- New
Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
AbeBooks seller since June 11, 2025
Condition: New
£ 46.88
Quantity: Over 20 available
Add to basketItem description from seller
The AI revolution is here, and at its core lies a game-changing technology that most developers haven't fully explored: vector databases. From powering semantic search to enabling large language models (LLMs) and generative AI, vector databases are reshaping how we build applications with unstructured data like text, images, and audio. But how do you go from curious to capable with this vital technology? That's where this book comes in.In this hands-on guide, author Nitin Borwankar takes you through the "why, what, and how" of vector databases, starting with the basic theory behind vector embeddings and progressing to building applications with real-world tools. You'll learn about Word2vec, how to convert open source SQL databases like SQLite3 and PostgreSQL into vector databases, and integrate them into retrieval-augmented generation (RAG) applications. Whether you're a Python developer, data engineer, or ML practitioner, this book gives you the foundation to leverage vector databases confidently in your AI projects.Understand the connection between vector databases, embeddings, and LLMsLearn practical approaches for transforming SQL databases into vector databasesBuild RAG applications for both personal and enterprise useApply vector databases to solve real-world AI challengesLearn how to use vector databases with LLMs to build applications.…
Seller Inventory # LU-9781098177591
- Title
- Vector Databases
- Author
- Nitin Borwankar
- Publisher
- O'Reilly Media, US
- Publication year
- 2026
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1098177592
- ISBN 13
- 9781098177591
- Item weight
- 467 grams
- Dimensions
- 17.78 x 5.08 x 23.34 cm
In this hands-on guide, author Nitin Borwankar takes you through the "why, what, and how" of vector databases, starting with the basic theory behind vector embeddings and progressing to building applications with real-world tools. You'll learn about Word2vec, how to convert open source SQL databases like SQLite3 and PostgreSQL into vector databases, and integrate them into retrieval-augmented generation (RAG) applications. Whether you're a Python developer, data engineer, or ML practitioner, this book gives you the foundation to leverage vector databases confidently in your AI projects.
- Understand the connection between vector databases, embeddings, and LLMs
- Learn practical approaches for transforming SQL databases into vector databases
- Build RAG applications for both personal and enterprise use
- Apply vector databases to solve real-world AI challenges
- Learn how to use vector databases with LLMs to build applications
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About the Author
"About the title" may belong to another edition of this title.
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AbeBooks seller since June 11, 2025
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