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Learner Reviews & Feedback for Vector Search and Embeddings by Google Cloud

4.4
stars
18 ratings

About the Course

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....

Top reviews

MT

Jun 7, 2024

Very interesting course on Vector Search and Embeddings!

DC

Jun 7, 2024

The labs have a lot of waiting for services to spin up (but it gives you time to read and understand more I suppose)

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1 - 5 of 5 Reviews for Vector Search and Embeddings

By Marvin T

•

Jun 8, 2024

Very interesting course on Vector Search and Embeddings!

By Niaj A K

•

Jan 9, 2025

Very Good

By Aditya M

•

May 20, 2025

nice

By Doug C

•

Jun 8, 2024

The labs have a lot of waiting for services to spin up (but it gives you time to read and understand more I suppose)

By Arun

•

Mar 25, 2025

I got error in the lab and not able to proceed. Error 1: PreconditionException: 412 'us-central1' violates constraint 'constraints/gcp.resourceLocations' I manually created the following bucket in google cloud but later, I got the following error when trying to index using Vertex AI Search. Error: 400 The request has violated one or more Org Policies: violations {\n description: \"The project 446652061426 failed the org policy enforcement check for `constraints/gcp.resourceLocations`. Please refer to https://pantheon.corp.google.com/iam-admin/orgpolicies/gcp-resourceLocations?project=446652061426 to review the project resource location restriction.