Chevron Left
Back to Vector Search and Embeddings

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

4.3
stars
16 ratings

About the Course

This course introduces Vertex AI Vector Search and describes how it can be used to build a search application with large language model (LLM) APIs for embeddings. The course consists of conceptual lessons on vector search and text embeddings, practical demos on how to build vector search on Vertex AI, and a hands-on lab....

Top reviews

Filter by:

1 - 4 of 4 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 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.