Quickstart: Agentic retrieval in Azure AI Search using Python
This sample demonstrates the fundamentals of agentic retrieval using Azure AI Search. You create a search index, a knowledge source that targets the index, and a knowledge base that integrates an LLM for query planning and answer synthesis.
What's in this sample
| File | Description |
|---|---|
quickstart-agentic-retrieval.ipynb |
Jupyter notebook that creates objects for agentic retrieval and runs queries |
requirements.txt |
Python package dependencies |
sample.env |
Environment variable template for configuration |
Documentation
This sample accompanies Quickstart: Agentic retrieval 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.