Weaviate Embeddings
Weaviate Cloud only
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
Section titled “Integrations with Weaviate Embeddings”Embedding models for vector search
Section titled “Embedding models for vector search”
Weaviate Embeddings' models transform text data into vector embeddings, capturing 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 Weaviate multimodal embedding integration page
Summary
Section titled “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
Section titled “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
Section titled “Questions and feedback”Have a question or feedback? Here's how to reach us.