Quickstart: Vector search in Azure AI Search using Python
This sample demonstrates the fundamentals of vector search, including creating a vector index, loading documents with embeddings, and running vector and hybrid queries.
What's in this sample
| File | Description |
|---|---|
vector-search-quickstart.ipynb |
Jupyter notebook that creates a vector index, uploads documents with embeddings, and runs queries |
requirements.txt |
Python package dependencies |
sample.env |
Environment variable template for configuration |
Documentation
This sample accompanies Quickstart: Vector search using Python. Follow the documentation for prerequisites, setup instructions, and detailed explanations.
Next step
You can learn more about Azure AI Search on the official documentation site.