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Vector Search and Embeddings

Vector Search and Embeddings

magic_button Semantic Search
These skills were generated by AI. Do you agree this course teaches these skills?
4 hours Intermediate universal_currency_alt 6 Credits

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 و Türkçe

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