Summary

The Contoso Sales Assistant sample showcases how to use the Azure OpenAI Assistants API and Chainlit to build a conversational agent that can answer questions about sales data, generate SQL queries, execute them against a read-only database, and create visualizations and Excel files for users to download. Here are some key takeaways:

1. Context Management: The assistant uses the Azure OpenAI Assistants API to manage conversation context.
2. Data Analysis: The assistant can answer questions about sales data, generate SQL queries, and execute them against a read-only database.
3. Visualizations: The assistant along with the code interpreter can create visualizations like pie charts and tables to help users understand the data better.
4. Excel Files: The assistant can create Excel files, as well as other file types like PDFs and PowerPoint presentations, for users to download and analyze further.
5. Security: By making the database read-only and ensuring the application runs in a secure environment, you can mitigate security risks like SQL injection.
6. Data Integration: By combining data from multiple sources, like the sales database and the tent datasheet, the assistant can provide more detailed analysis and insights.
7. Customization: The assistant and the LLM supports multiple languages, providing a more inclusive experience for users.