DC
4.0Reviewed 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)
Very interesting course on Vector Search and Embeddings!
Vector Search and Embeddings
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.
Status: Large Language Modeling
Status: Retrieval-Augmented Generation
IntermediateCourse4 hours
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MT
5.0Reviewed Jun 7, 2024
Very interesting course on Vector Search and Embeddings!
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Marvin Tiu
5.0
Reviewed Jun 8, 2024Niaj Ahmed Khan
5.0
Reviewed Jan 9, 2025Very Good
Aditya Mishra
5.0
Reviewed May 20, 2025nice
Doug Cha
4.0
Reviewed Jun 8, 2024The labs have a lot of waiting for services to spin up (but it gives you time to read and understand more I suppose)
Arun
1.0
Reviewed Mar 25, 2025I 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.