03 Vector Search and Embeddings

03

Vector Search and Embeddings

Name: Vector Search and Embeddings
Rating: 4.05 (11061 reviews)

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Data Science

Data Management

Vector Search

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2 heures Intermédiaire

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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info

Informations sur le cours

Objectifs

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.

Prérequis

None

Cible

AI developers Data scientists

Langues disponibles

English, Deutsch, español (Latinoamérica), français, bahasa Indonesia, 日本語, 한국어, português (Brasil), 简体中文, 繁體中文 et Türkçe

03

Vector Search and Embeddings

03

Vector Search and Embeddings

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