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.
Vector Search and Embeddings
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Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Recognize the process, applications, and key technologies of vector search.
Describe embeddings and the LLM APIs used for embeddings.
Build a search engine by using Vertex AI Vector Search.
Details to know
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Assessments
1 assignment
Taught in English
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There is 1 module in this 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.
What's included
6 videos1 reading1 assignment1 app item
Instructor
Offered by
Recommended if you're interested in Cloud Computing
Google Cloud
DeepLearning.AI
Duke University
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