The end user leverages the web interface as the primary method to engage with the IA Accelerator, and the Azure OpenAI service. The user interface is very similar to that of the OpenAI ChatGPT interface, though it provides different and additional functionality which is outlined below.
When you engage with IA Accelerator in the "Chat" method, the system maintains a history for your conversation and will be able to understand the context of your questions from one question to the next.
You may activate the Chat engagement pattern by choosing the "Chat" link at the top of the page
The Analysis Panel in the UX allows the user to explore three details about the answer to their question:
- Thought Process
- Supporting Content
- Citations
View the details of the Analysis Panel feature or you can click on each section to get more specifics of that detail tab.
When you engage with IA Accelerator in the "Manage Content" method, the system allows you to add new content and see the status of processing for content previously loaded into the IA Accelerator.
You may activate the Manage Content engagement pattern by choosing the "Manage Content" link at the top of the page
You can upload documents in the supported formats listed above through the user interface. To do so:
You can view the status up files that have been uploaded to the system through the user interface. To do so:
Referring to the manage content sections above for Upload files and View upload status, you can optionally load open source sample data to demonstrate the capabilities of the Information Assistant. The following data sources may be useful for your initial demonstration purposes:
Microsoft financial statements are available at the SEC Filings site. This dataset enables the user to ask questions such as "What are Microsoft sources of revenue?". You can optionally load Microsoft's SEC Filings at gcs-web.com
An Ice Cream data set is available at kaggle.com. This dataset enables the user to ask questions such ase "What are flavors of breyers?" You can optionally load the Ice Cream Dataset from kaggle.com
Education Policy documents from US FERPA guidelines. This dataset enables the user to ask "How is strengthening student data privacy accomplished?". You can optionally load US FERPA Policy documents