Vector Storage

Hyper offers comprehensive support for a range of vector databases like Pinecone, Turbopuffer, and more.

Supported Vector Storage Providers

• Pinecone: A managed vector database service designed for high-performance similarity search at scale. Pinecone is ideal for developers looking to build feature-rich applications that require fast and accurate vector search capabilities.
• Turbopuffer: A robust vector storage solution known for its speed and efficiency, especially in handling large volumes of data. Turbopuffer is suitable for applications that demand quick data retrieval and real-time analytics.
• Elasticsearch: While not a vector database at its core, Elasticsearch supports vector search through dense vector fields, making it a versatile choice for applications that already utilize Elasticsearch for search and analytics.
• Faiss: Developed by Facebook AI Research, Faiss is a library for efficient similarity search and clustering of dense vectors. It can be used standalone or in conjunction with databases to provide scalable vector search capabilities.
• Weaviate: An open-source vector search engine that supports semantic search, automatic classification, and more. Weaviate is designed to make vector search accessible and scalable for a wide range of applications.

Integrating Vector Storage with Hyper

To import your vector storage provider to Hyper, please contact us on Slack.