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.
Vector Search and Embeddings
Gain insight into a topic and learn the fundamentals.
19 reviews
Intermediate level
Some related experience required
4 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Explain vector search processes and key technologies.
Construct semantic search using vector embeddings with Vertex AI Vector Search.
Explore grounded agents and retrieval-augmented generation (RAG) to mitigate AI hallucinations.
Create a hybrid search engine with Vertex AI Vector Search.
Skills you'll gain
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in English
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There is 1 module in this course
Instructor
Instructor ratings
(5 ratings)
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Showing 3 of 19
MT
Reviewed on Jun 7, 2024
Very interesting course on Vector Search and Embeddings!
DC
Reviewed on 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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