Welcome to the prompt flow ecosystem - a comprehensive gallery that showcases a variety of use cases demonstrating the the capabilities of prompt flow in building high-quality AI applications.
Here are some common use cases that we've facilitated:
- Evaluate semantic kernel planner: This case demonstrates the evaluation of the Semantic Kernel Planner for superior control over AI agent's generation.
- Personalized Financial advise using banking customer data on PostgreSQL/CosmosDB: This example demonstrates how to connect to a CosmosDB database, query data, and use the retrieved information as a reference for AI-generated financial advice.
- Natural Language to SQL: This is an example for implementing Natural Language to SQL code generation on a sample database using PromptFlow and performing evaluation.
In addition, we also provide best practices for:
- Golden dataset preparation: Learn how to prepare a golden dataset for your AI application evaluation.
Our Ecosystem serves as a practical guide, providing detailed walkthroughs of each use case for industry, and how to effectively leverage prompt flow in your AI application development process.
- Install the prompt flow SDK
pip install promptflow promptflow-toolsMore information about the SDK installation can be found here.
- Install the prompt flow extension in VS code
Search for promptflow in the VS code extension marketplace and install the extension.
More information about the extension can be found here.
Go to the sample gallery, you can find more samples here, you can follow the tutorial to start practicing on a specific use case.