Connect Vectara and AI/ML API to Build Intelligent Automations
Choose a Trigger
When this happens...
New Corpora Created
Choose an Action
Automatically do this!
Create Chat Completion
Ready to use Vectara and AI/ML API automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Corpora Created
Runs when new corpora are created within the last specified number of minutes.
Do thisActions
Action is the task that follows automatically within your Vectara integrations.
Create a Corpus
Creates a new Vectara corpus to store documents for easy search and retrieval.
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 Vectara and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Vectara triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Vectara 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 Vectara 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 Vectara 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 Vectara
Vectara offers advanced AI-driven solutions for natural language processing and understanding, enabling businesses to enhance their customer interactions and data insights.
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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