Connect LiveChat and Contextual AI to Build Intelligent Automations
Choose a Trigger
When this happens...
New Chat
Finished Chat
Chat Changed
Choose an Action
Automatically do this!
Create Datastore
List Datastores
Get Datastore Metadata
Reset Datastore
Delete Datastore
List Documents
Get Document Metadata
Delete Document
List Agents
Create Agent
Delete Agent
Reset Agent
Get Agent Metadata
Ready to use LiveChat and Contextual AI automations
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Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Chat
Triggers when the chat is started.
Finished Chat
Triggers when the chat is ended.
Chat Changed
Triggers when the tag list for a chat was changed.
Do thisActions
Action is the task that follows automatically within your LiveChat integrations.
Create Datastore
Create a new Datastore.
List Datastores
Retrieve a list of Datastores.
Get Datastore Metadata
Get the details of a given Datastore, including its name, create time, and the list of Agents which are currently configured to use the Datastore.
Reset Datastore
Reset the give Datastore. This operation is irreversible and it deletes all the documents associated with the datastore.
Delete Datastore
Delete a given Datastore, including all the documents ingested into it. This operation is irreversible.
List Documents
Get list of documents in a given Datastore, including document id, name, and ingestion job status.
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Frequently Asked Questions
To start, connect both your LiveChat and Contextual AI accounts to viaSocket. Once connected, you can set up a workflow where an event in LiveChat triggers actions in Contextual AI (or vice versa).
Absolutely. You can customize how LiveChat data is recorded in Contextual AI. This includes choosing which data fields go into which fields of Contextual AI, setting up custom formats, and filtering out unwanted information.
The data sync between LiveChat and Contextual AI 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 LiveChat and Contextual AI. 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 LiveChat
LiveChat is the faster way to contact your customers. It is a web-based chat tool that lets you chat with your website visitors.
Learn MoreAbout Contextual AI
Contextual AI is a cutting-edge platform that leverages artificial intelligence to provide context-aware solutions. It helps businesses and developers create applications that understand and respond to the context of user interactions, enhancing user experience and engagement.
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