Vector Databases: A Practical Introduction

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.