Weaviate + Databricks
Build sophisticated AI applications leveraging Databricks’ Foundation Model APIs directly from Weaviate.
Build intuitive AI applications
Weaviate is an open source vector database that's used to power modern AI use cases like semantic and multimodal search and retrieval augmented generation (RAG). Integration with Databricks’ platform helps enterprises leverage the power of GenAI while ensuring data privacy.
Embedding Models for Semantic Search
Perform semantic and hybrid search operations without the need for additional preprocessing or data transformation steps.
Generative AI Models for RAG
Use Weaviate's efficient storage and fast retrieval capabilities with Databricks’ generative AI models to offer personalized and context-aware responses.
Build end-to-end applications faster
With these integrations, you can speed up your development process and focus on creating new AI-driven features.
Weaviate and Databricks integration
Resources
Learn and explore the latest from Weaviate across the web.