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07

Vector Search and Embeddings

07

Vector Search and Embeddings

4 hours Intermediate

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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Course Info
Objectives
  • 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.
Prerequisites

None
Audience
AI developers Data scientists ML engineers
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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