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.
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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.
Syllabus
Vector Search and Embeddings
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
Go to Class
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