Coursera Plus Annual is 40% Off — Ends June 29.

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Google

Vector Search and Embeddings

Google via Google Skills

Go to class Write review
Coursera Ad

AI, Data Science & Cloud Certificates from Google, IBM & Meta

Learn More → Boot.dev Ad

The Fastest Way to Become a Backend Developer Online

Learn More →

Overview

AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Explore AI-powered search technologies, tools, and applications in this course. Learn semantic search utilizing vector embeddings, hybrid search combining semantic and keyword approaches, and retrieval-augmented generation (RAG) minimizing AI hallucinations as a grounded AI agent. Gain practical experience with Vertex AI Vector Search to build your intelligent search engine.

Syllabus

  • Vector Search and Embeddings
    • Introduction
    • Vector search basics
    • Encode with embeddings
    • Index and search
    • Vertex AI Vector Search
    • Getting Started with Vector Search and Embeddings
    • RAG and grounded agent
    • Hybrid search
    • Create Hybrid Search with Vector Search
    • Summary
    • Quiz
    • Reading List
  • Your Next Steps
    • Claim credential

Tags

Reviews

Start your review of Vector Search and Embeddings

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.