Upstash Vector
ProductOperating Status: Currently Offered
Serverless vector database for AI, semantic search, and RAG pipelines.
Serverless vector database for AI, semantic search, and RAG pipelines.
Upstash Vector provides a fully managed, serverless vector store that scales automatically based on usage. Developers can create indexes with dense vectors for semantic search, sparse vectors for full-text/keyword search, or hybrid indexes combining both approaches. The service supports multiple distance metrics including cosine similarity, Euclidean distance, and dot product, with configurable dimensions to match various embedding models. Data is accessible via REST API and official SDKs for Python, JavaScript/TypeScript, Go, and PHP.
The platform is purpose-built for modern AI applications including semantic search, recommendation engines, anomaly detection, and RAG systems. It offers usage-based pricing with a free tier suitable for prototypes, plus pay-as-you-go and fixed plans for production workloads. Upstash Vector integrates natively with popular AI frameworks and embedding providers, making it easy to build vector-powered features without managing infrastructure.
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