Turbopuffer is a high-performance vector database designed for AI applications that demand rapid similarity search at massive scale. It is used to index and retrieve embeddings for tasks like semantic search, recommendation systems, and RAG pipelines. Developers working on AI-powered platforms and data-intensive applications benefit most from its low-latency queries and efficient storage.
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