IntegrationsWeaviateModel Match
Weaviate + Model Match

Connect Weaviate and Model Match to Build Intelligent Automations

Choose a Trigger

Weaviate

When this happens...

Choose an Action

Model Match

Automatically do this!

Enable Integrations or automations with these events of Weaviate and Model Match

Enable Integrations or automations with these events of Weaviate and Model Match

Actions

Create a New Object Class

Create a New Object Class

Create a new data object collection.

Create a New Tenant

Create a New Tenant

Create a new tenant for a collection. Multi-tenancy must be enabled in the collection definition.

Remove an Object Class

Remove an Object Class

Remove a collection from the schema. This will also delete all the objects in the collection.

Delete Tenants From a Class

Delete Tenants From a Class

Delete Tenants From a Class

Request a new Action for Weaviate

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Frequently Asked Questions

How do I start an integration between Weaviate and Model Match?

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

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

Absolutely. You can customize how Weaviate 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 Weaviate and Model Match?

The data sync between Weaviate 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 Weaviate 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 Weaviate and Model Match?

Yes, you can set conditional logic to control the flow of data between Weaviate 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.

Weaviate

About Weaviate

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.

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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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