What connectors to AI services can I use?
Azure QnA Maker Connector
Available from the Forge, this connector accesses Azure QnA Maker. Azure QnA Maker is a cloud-based API service that answers natural language questions by matching it with the best possible answer from an organization’s knowledge base. These knowledge bases can be easily created from semi-structured content such as FAQs, URLs, or support documents.
Examples of use cases for QnA Maker:
- An AI-driven knowledge base that answers customer questions or security questionnaires and assists with replies to RFPs.
- A virtual assistant that automatically answers questions and concerns about COVID-19
- The enrichment of a chatbot with automated capabilities that answer common customer questions
Azure LUIS Connector
Use this connector, available from the Forge, to take advantage of the Azure Language Understanding (LUIS) service. LUIS is a cloud-based API service that applies custom machine-learning intelligence to a user's conversational, natural language text to predict overall meaning and pull out relevant, detailed information.
Developers can use Azure LUIS to:
- Ensure a chatbot understands a person’s intent in the conversation so it can provide the correct answer.
- Create an enterprise onboarding bot for new employees that supports them through the onboarding process.
Azure Cognitive Services Connector
This connector, available from the Forge, connects to the Azure Cognitive Services that enable users to have natural and contextual interactions with applications.
Azure Bot Framework Connector
With this connector available from the Forge, developers can connect to the Azure Bot Framework and use its services to build bots that interact with users on websites, apps, Cortana, Microsoft Teams, Skype, Slack, and Facebook Messenger. Methods for the Azure Bot Framework REST API and the Direct Line API enable developers to create a bot and allow a client application to communicate with a bot.
Dialogflow ConnectorAvailable from the Forge, this connector connects to Google Dialogflow, which gives users new ways to interact with their products by building engaging voice and text-based conversational apps.
Examples of how to use Diagflow include:
- Customer service: Build conversational interfaces that can follow up on past orders, schedule appointments, answer common questions, or assist a user with simple requests.
- IoT devices: Make IoT devices smarter with conversational interfaces. Dialogflow adds a layer of intelligence to smart devices so that they can understand the context of a user’s interactions and respond with precision.
Azure ML Connector
This connector, available from the Forge, enables communication with an Azure Machine Learning Score Model in real time and returns prediction results obtained from predictive experiments created with the tools provided by Microsoft Azure Machine Learning. The connector and Azure ML enable developers to infuse their apps with intelligence that predicts customer behavior and reduces the effort of meeting customer needs.