IntegrationsWeaviateTMETRIC
Weaviate + TMETRIC

Connect Weaviate and TMETRIC to Build Intelligent Automations

Choose a Trigger

Weaviate

When this happens...

Choose an Action

TMETRIC

Automatically do this!

Enable Integrations or automations with these events of Weaviate and TMETRIC

Enable Integrations or automations with these events of Weaviate and TMETRIC

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

Get recent tasks

Get recent tasks

List recently created or updated tasks

latest time entry

latest time entry

Fetch the most recently tracked time entry

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Frequently Asked Questions

How do I start an integration between Weaviate and TMETRIC?

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

Can we customize how data from Weaviate is recorded in TMETRIC?

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

How often does the data sync between Weaviate and TMETRIC?

The data sync between Weaviate and TMETRIC 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 TMETRIC?

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 TMETRIC?

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

About TMETRIC

TMetric is a comprehensive time tracking software designed to help businesses and freelancers manage their time efficiently. It offers features such as time tracking, project management, team management, and reporting, making it an ideal tool for improving productivity and ensuring accurate billing.

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