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.
MT
Very interesting course on Vector Search and Embeddings!
DC
The labs have a lot of waiting for services to spin up (but it gives you time to read and understand more I suppose)
Showing: 5 of 5
Very interesting course on Vector Search and Embeddings!
Very Good
nice
The labs have a lot of waiting for services to spin up (but it gives you time to read and understand more I suppose)
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.