Connect Weaviate and BigML to Build Intelligent Automations

Choose a Trigger

Weaviate

When this happens...

Choose an Action

BigML

Automatically do this!

Use the Built-in Integrations

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Resource

New Resource

Triggers when a new resource is created

Request a new Trigger for Weaviate

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

Create Anomaly Score

Create Anomaly Score

Calculates the anomaly score of a data instance.

Create Centroid

Create Centroid

Find out the closest cluster to your data instance

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Frequently Asked Questions

How do I start an integration between Weaviate and BigML?

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

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

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

How often does the data sync between Weaviate and BigML?

The data sync between Weaviate and BigML 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 BigML?

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 BigML?

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

About BigML

BigML is a leading machine learning platform that provides a wide range of tools and services for creating, deploying, and managing machine learning models. It offers an intuitive interface and powerful APIs to help businesses and developers harness the power of machine learning for predictive analytics, anomaly detection, clustering, and more.

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