07 Vector Search and Embeddings

07

Vector Search and Embeddings

Name: Vector Search and Embeddings
Rating: 4.07 (397 reviews)

4 heures Intermédiaire

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.

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info

Informations sur le cours

Objectifs

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.

Prérequis

None

Cible

AI developers Data scientists ML engineers

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

07

Vector Search and Embeddings

07

Vector Search and Embeddings

La puissance des ateliers challenge