How to use azure openai on your data with copilot studio

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okay, let's dive into a comprehensive tutorial on integrating azure openai with your data using microsoft copilot studio (formerly power virtual agents). this will allow you to create powerful chatbots that can answer questions based on your specific data, leveraging the intelligence of azure openai.

**overview**

this tutorial will cover the following key aspects:

1. **setting up azure openai:**
* provisioning an azure openai resource.
* deploying a model (e.g., `gpt-35-turbo`, `gpt-4`).
* configuring access control.

2. **preparing your data:**
* choosing a data source (e.g., sharepoint, website, pdf files).
* data cleaning and pre-processing.
* creating a knowledge base for azure openai to access (using azure ai search).

3. **integrating azure openai with azure ai search**
* setting up azure ai search
* indexing your data

4. **connecting copilot studio to azure openai with ai search:**
* creating a copilot studio bot.
* using the generative answers capabilities to connect to your azure ai search index.
* configuring the bot's behavior and response strategies.

5. **testing and refinement:**
* testing your bot with various queries.
* iterating on your data, knowledge base, and bot configuration.

6. **deployment (optional):**
* publishing your bot to different channels (e.g., website, microsoft teams).

**prerequisites**

* **azure subscription:** you'll need an active azure subscription to create azure openai and azure ai search resources.
* **azure openai access:** you need to be granted access to azure openai. the access is granted on application basis. apply using this form [https://aka.ms/oai/access](https://aka.ms/oai/access)
* **microsoft copilot studio license:** a license for microsoft copilot studio (either trial or paid).
* **data:** have your data prepared and accessible. this could be documents, pdfs, a website, or other structured data.
* **basic ...

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