New Book
Vector Search with JavaScript
Build intelligent search systems with AI. Published by The Pragmatic Bookshelf.
Pages
128
Published
September 2025
ISBN
9798888651735
Publisher
Pragmatic Bookshelf
About the Book
Stop relying on outdated search methods. Deploy vector search and deliver smarter, more intuitive search experiences that keep users engaged.
This comprehensive guide takes a deep dive into the world of vector search, offering a hands-on approach for developers looking to bring AI-powered utility and precision into their projects. This book demystifies the core concepts of vector search, making them accessible and practical—and you don't need a background in math to learn vector search techniques!
Revolutionize search with AI-powered techniques that go beyond simple keyword matching. Implement vector search to build applications that understand intent, meaning, and similarity.
What You'll Learn
- ✓ Generate embeddings and construct efficient vector indexes
- ✓ Build recommendation systems and personalized search
- ✓ Power content discovery tools with semantic search
- ✓ Integrate vector search into JavaScript applications
- ✓ Build scalable, high-performance search systems
Available Formats
What People Are Saying
Angie Jones
VP Engineering, AI Tools & Enablement
Block, Inc.
"Vector Search with JavaScript is the book I wish I had when I first started working in this space."
Laurent Doguin
Director of Developer Relations
Couchbase
"Ben's book offers the approachable explanations and examples of vector search I wish I had when I was learning the field. It's a must-read for anyone joining my team."
Liran Tal
Director of Developer Relations
Snyk
"The book does a great job at offering practical hands-on experience building applications powered by vector search."
Santosh Yadav
GitHub Star, Microsoft MVP, Angular GDE
Senior Software Engineer at Celonis
"Vector Search with JavaScript is for everyone who wants to explore the world of vector search. This could easily be the best book on crafting an API using Node.js."
Table of Contents
Part I: Foundations of Vector Search
- • Getting Started with Vector Search
- • Understanding Vector Search
- • Generating Vector Embeddings
Part II: Building a Vector Search Service
- • Building the Foundation for Vector Search
- • Structuring the Back End for Vector Search
- • Building the Vector Embedding Generation Service
- • Creating a Vector Search Service
- • Creating a Vector Search Index
- • Incorporating Vector Search Functionality
- • Optimizing Search Results
Part III: Practical Applications and Next Steps
- • Exploring Upcoming New Developments
- • Taking a Look at Real-World Use Cases
Ready to Master Vector Search?
Cut through the complexity and apply AI-driven search strategies to create better user experiences.
Get the Book Now