Connect Weaviate and Qminder to Build Intelligent Automations

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Weaviate

When this happens...

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Qminder

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Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

Add visitor to queue

Add visitor to queue

Triggers when a new visitor is added.

visitor checks in

visitor checks in

runs when visitor checks in

Mark visitor as served

Mark visitor as served

Set a visitor's status to 'served' in Qminder to update the queue and record service completion.

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Do thisActions

Action is the task that follows automatically within your Weaviate integrations.

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

Add visitor to line

Add visitor to line

Add a visitor to the selected line so they join the location's queue.

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Frequently Asked Questions

How do I start an integration between Weaviate and Qminder?

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

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

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

How often does the data sync between Weaviate and Qminder?

The data sync between Weaviate and Qminder 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 Qminder?

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 Qminder?

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

About Qminder

Qminder is a queue management system designed to streamline customer service and improve the waiting experience. It helps businesses manage queues efficiently, providing real-time data and insights to enhance customer satisfaction.

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