Connect Swiftype and AI/ML API to Build Intelligent Automations
Choose a Trigger
When this happens...
New Document
Choose an Action
Automatically do this!
Create Chat Completion
Ready to use Swiftype and AI/ML API automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Document
Triggered when a new document is added to the Swiftype index.
Do thisActions
Action is the task that follows automatically within your Swiftype integrations.
Create Document
Adds a new document to the Swiftype index.
Create Chat Completion
Initiates a conversation with the AI model, providing prompts and generating responses based on the chat messages.
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Frequently Asked Questions
To start, connect both your Swiftype and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Swiftype triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Swiftype data is recorded in AI/ML API. This includes choosing which data fields go into which fields of AI/ML API, setting up custom formats, and filtering out unwanted information.
The data sync between Swiftype and AI/ML API typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Swiftype and AI/ML API. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About Swiftype
Swiftype is a powerful search platform that provides advanced search capabilities for websites and applications. It offers customizable search solutions that enhance user experience by delivering relevant search results quickly and efficiently.
Learn MoreAbout AI/ML API
AI/ML API provides advanced artificial intelligence and machine learning capabilities to developers and businesses, enabling them to integrate intelligent features into their applications. With a wide range of AI models and tools, users can enhance their software with capabilities such as natural language processing, image recognition, predictive analytics, and more.
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