Weaviate Embeddings
Weaviate Embeddings is currently in free technical preview for Weaviate Cloud Serverless users.
To try out Weaviate Embeddings at this time, please contact us to request access.
Weaviate Embeddings offers vectorizer models to Weaviate Cloud users, allowing users to leverage Weaviate Embeddings' models directly from a Weaviate Cloud database instance.
These integrations empower developers to build sophisticated AI-driven applications with ease.
Integrations with Weaviate Embeddings
Embedding models for semantic search
Weaviate Embeddings' embedding models transform text data into high-dimensional vector representations, capturing semantic meaning and context.
Weaviate Cloud integrates with Weaviate Embeddings' embedding models to enable seamless vectorization of data. This integration allows users to perform semantic and hybrid search operations without the need for additional preprocessing or data transformation steps.
Weaviate Embeddings integration page
Summary
These integrations enable developers to leverage Weaviate Embeddings' powerful models directly within Weaviate.
In turn, they simplify the process of building AI-driven applications to speed up your development process, so that you can focus on creating innovative solutions.
Get started
You must provide a valid Weaviate Cloud API key to Weaviate for these integrations. Go to Weaviate Cloud to sign up and obtain an API key.
Then, go to the relevant integration page to learn how to configure Weaviate with the Weaviate Embeddings models and start using them in your applications.
Questions and feedback
If you have any questions or feedback, let us know in the user forum.