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
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
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
What's next
- See other Vertex AI notebook tutorials in the Tutorials overview .
- Explore more resources in the Generative AI GitHub repo .
