Connect Docugami and AI/ML API to Build Intelligent Automations
Ready to use Docugami and AI/ML API automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Create Project
Triggers when new projects are created within the selected time interval.
Create Docsets
Triggers when new docsets are created within the selected time interval.
Do thisActions
Action is the task that follows automatically within your Docugami integrations.
Create a docset
Create a docset in Docugami.
Create a project
Create a Project in Docugami.
Publish a project
Publish a project in Docugami.
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 Docugami and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Docugami triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Docugami 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 Docugami 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 Docugami 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 Docugami
Enhance your document engineering processes with Docugami's specialized AI tools designed to transform how your business creates and understands documents.
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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