We're excited to unveil our new End-to-End Speech Service for AAQ! This powerful component allows you to seamlessly ask your questions on your device and recieve a spoken response back. Powered by advanced AI it integrates Text-to-Speech and Speech-to-Text capabilities, allowing you to easily create dynamic voice experiences through AAQ.
Last month we rolled out the "Overview" page of the dashboard. Today, we are excited to share the "Performance" page. This includes a detailed view of the performance of your content, and AI-powered suggestions on how to improve it.
As a question-answering plugin service, Ask A Question requires what we call "chat managers" - platforms that help you build end-user chat flows and integrate with channels like WhatsApp.
To make this integration process easier, we published a Turn.io Playbook. Playbooks are reusable, pre-built chat flows that can be shared with and remixed by other teams in the chat-for-impact community.
We refactored our two question-answering endpoints into a single one called /search for clarity and ease of use.
In the last month or so, we've had support from Google fellows to pinch hit on a few items. Ahn Mac, a UI/UX designer at Google, helped design a new dashboard that we are very excited about. The first page, "Overview", is now ready for you to check out.
Filtering contents has been made easier with tags.
By integrating Langfuse, a popular LLM observability tool with a generous free tier, you can now track all LLM calls made via AAQ.
Getting insights from your app has been made easy with the introduction of a questions dashboard page.
You may wish to handle urgent messages differently. For example, when deploying a question answering service in a health context, you may wish to refer the user to their nearest health center, or escalate it immediately to a human operator.
We introduce a new endpoint and new page in the Admin App to enable this.
There are now two new endpoints for feedback:
POST /response-feedback - Allows you to capture feedback for the overall response returned by either of the
Question-Answering APIs.POST /content-feedback - Allows you to capture feedback for a specific piece of content.These can be used in chat managers to collect feedback after answers are shown.