Vector Search with JavaScript
Build Intelligent Search Systems with AI
By Ben Greenberg
Foreword by Angie Jones
A practical guide for JavaScript developers and backend engineers to build intelligent search systems with AI.
Published by The Pragmatic Bookshelf.
Welcome to the world of vector search! This book is your guide to understanding and implementing vector search systems, blending theory with hands-on code examples. Whether you’re a backend engineer or a curious developer, you’ll learn to build intelligent, efficient search systems that deliver value to your users.
Get Your CopyExperience Vector Search in Action
Vector search finds content by meaning. Try it by suggesting a title for this book and see which Pragmatic Bookshelf book titles are most alike. *
* This is a simulated demo experience. Results do not reflect a real vector search engine.
Featured Project
RealWorld Example App: Vector Search Edition
Throughout the book, you’ll enhance a full-stack blogging platform (inspired by Medium) with vector-powered functionality. You’ll embed content, enable similarity search, and layer in hybrid techniques to create a modern, intelligent search experience. This project grounds every concept in practical, real-world implementation.
Order & Project
Grab the book and explore the hands-on project that anchors every chapter.
About the Book
Vector search leverages advanced machine learning to deliver relevant, context-aware results.
This book covers:
Why vector search matters
Understand the fundamental concepts behind vector search and why it’s revolutionizing how we build search systems.
Generating and using vector embeddings
Learn practical techniques to create, store, and leverage embeddings for real-world data and applications.
Building a Node.js backend in JavaScript
Step through building a performant, scalable backend using JavaScript and Node.js, with hands-on code examples.
Designing and optimising search APIs
Discover best practices for API design, including how to expose powerful vector search features to your applications.
Hybrid and advanced search techniques
Explore hybrid approaches that combine traditional and vector search, and learn advanced methods for boosting relevance.
Real-world use cases and practical tips
See how companies use vector search in production, and get actionable tips to avoid common pitfalls.
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About the Author
Ben Greenberg is a developer advocate, educator, and author passionate about making complex topics accessible to all. He writes and speaks about modern software engineering, search, and developer productivity.
@hummusonrailsReady to dive in?
Get the book and start building intelligent search systems today.