Vector Search notebook tutorials

Vertex AI Matching Engine has been renamed to Vector Search. We are in the process of updating content to reflect the new branding.

A list of notebook tutorials is provided to help you get started using Vector Search.

Vector Search quickstart

This notebook is a short guide to setting up and using Vector Search for finding semantically similar items. Open in Colab | Open in Colab Enterprise | View on GitHub | Open in Vertex AI Workbench user-managed notebooks

Getting started with text embeddings and Vector Search

This notebook is an introduction to text embeddings and their application in building Vector Search engines. Open in Colab | Open in Colab Enterprise | View on GitHub | Open in Vertex AI Workbench user-managed notebooks

Combining semantic and keyword search: A hybrid search tutorial with Vector Search

This notebook demonstrates how to build a hybrid search system that uses both keyword-based search and semantic similarity search with embeddings. Open in Colab | Open in Colab Enterprise | View on GitHub | Open in Vertex AI Workbench user-managed notebooks

What's next

• See other Vertex AI notebook tutorials in the Tutorials overview.
• Explore more resources in the Generative AI GitHub repo.