IntegrationsContextual AIModel Match
Contextual AI + Model Match

Connect Contextual AI and Model Match to Build Intelligent Automations

Choose a Trigger

Contextual AI

When this happens...

Choose an Action

Model Match

Automatically do this!

Enable Integrations or automations with these events of Contextual AI and Model Match

Enable Integrations or automations with these events of Contextual AI and Model Match

Actions

Create Datastore

Create Datastore

Create a new Datastore.

List Datastores

List Datastores

Retrieve a list of Datastores.

Get Datastore Metadata

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 Datastore

Reset the give Datastore. This operation is irreversible and it deletes all the documents associated with the datastore.

Delete Datastore

Delete Datastore

Delete a given Datastore, including all the documents ingested into it. This operation is irreversible.

List Documents

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

How do I start an integration between Contextual AI and Model Match?

To start, connect both your Contextual AI and Model Match accounts to viaSocket. Once connected, you can set up a workflow where an event in Contextual AI triggers actions in Model Match (or vice versa).

Can we customize how data from Contextual AI is recorded in Model Match?

Absolutely. You can customize how Contextual AI data is recorded in Model Match. This includes choosing which data fields go into which fields of Model Match, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Contextual AI and Model Match?

The data sync between Contextual AI and Model Match typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Contextual AI to Model Match?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Contextual AI and Model Match?

Yes, you can set conditional logic to control the flow of data between Contextual AI and Model Match. 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.

Contextual AI

About 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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Model Match

About Model Match

Model Match helps forward thinking mortgage lenders streamline the recruiting process and bring their team and pipeline into one central, collaborative space.

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