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When this happensTriggers
A trigger is an event that starts a workflow.
Trigger when a new user created.
Action is the task that follows automatically within your Weaviate integrations.
Create a new data object collection.
Create a new tenant for a collection. Multi-tenancy must be enabled in the collection definition.
Remove a collection from the schema. This will also delete all the objects in the collection.
Delete Tenants From a Class
Create new story.
Update existing story.

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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Weaviate and ChatBot accounts to viaSocket. Once connected, you can set up a workflow where an event in Weaviate triggers actions in ChatBot (or vice versa).
Absolutely. You can customize how Weaviate data is recorded in ChatBot. This includes choosing which data fields go into which fields of ChatBot, setting up custom formats, and filtering out unwanted information.
The data sync between Weaviate and ChatBot 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 Weaviate and ChatBot. 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.
Weaviate is an open-source vector search engine that allows you to store, search, and manage data in a highly efficient manner. It is designed to handle large-scale data sets and provides powerful tools for semantic search and data management.
Learn MoreChatBot.com is an AI-powered conversational platform designed to automate customer interactions across multiple channels, including websites, Facebook Messenger, Slack, and more. Developed by LiveChat Software, it enables businesses—particularly small to medium-sized enterprises—to deploy intelligent chatbots without the need for coding expertise.
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