Serverless vector database built for scale — no infrastructure to manage
turbopuffer is a serverless vector database designed for high-scale production workloads, offering fast nearest-neighbor search with automatic scaling and a simple HTTP API. It handles billions of vectors without capacity planning, charging only for storage and queries.
The memory layer — stores and retrieves vector embeddings for RAG and semantic search
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