03
Vector Search and Embeddings
03
Vector Search and Embeddings
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.
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 וTürkçe