Connect Weaviate and Numerai to Build Intelligent Automations

Choose a Trigger

Weaviate

When this happens...

Choose an Action

Numerai

Automatically do this!

Enable Integrations or automations with these events of Weaviate and Numerai

Enable Integrations or automations with these events of Weaviate and Numerai

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 Numerai?

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

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

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

How often does the data sync between Weaviate and Numerai?

The data sync between Weaviate and Numerai 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 Numerai?

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 Numerai?

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

About Numerai

Numerai is a unique hedge fund that leverages the power of data science and machine learning to make stock market predictions. It operates as a decentralized network where data scientists from around the world can contribute their models to improve the fund's performance. By using encrypted data, Numerai ensures privacy and security while fostering collaboration among its community of data scientists.

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