07
Vector Search and Embeddings
07
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.
Course Info
Objectives
- 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.
Prerequisites
None
Audience
AI developers
Data scientists
Available languages
English, Deutsch, español (Latinoamérica), français, bahasa Indonesia, 日本語, 한국어, português (Brasil), 简体中文, 繁體中文, and Türkçe
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View the public classroom schedule here.
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