The book

Vector Search with JavaScript

Build AI-powered search systems with JavaScript. Published by The Pragmatic Bookshelf.

Vector Search with JavaScript book cover Get the book
Published
September 2025
Pages
128
Publisher
Pragmatic Bookshelf
ISBN
9798888651735

Available as PDF, EPUB, MOBI, and paperback.

About the book

I wrote this book for working JavaScript developers who keep hearing about vector search and want to build with it, not just read definitions of it. It walks through what embeddings are, how similarity search works, and then spends most of its pages building a real search service in Node.js.

You don't need a math background. By the end you will have generated embeddings, built and tuned a vector index, and shipped search that understands meaning instead of matching keywords.

In the book

  • Generate embeddings and construct efficient vector indexes
  • Build recommendation systems and personalized search
  • Power content discovery with semantic search
  • Integrate vector search into JavaScript applications
  • Build scalable, high-performance search systems

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

Praise

"Vector Search with JavaScript is the book I wish I had when I first started working in this space."
Angie Jones
VP Engineering, AI Tools & Enablement, Block
"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."
Laurent Doguin
Director of Developer Relations, Couchbase
"The book does a great job at offering practical hands-on experience building applications powered by vector search."
Liran Tal
Director of Developer Relations, Snyk
"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."
Santosh Yadav
GitHub Star, Microsoft MVP, Angular GDE