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Pinecone is a vector database built for high-performance similarity search. The architecture separates storage and compute, using a distributed indexing layer and specialized query engines. Engineers designed the system to handle billions of vectors with low latency, leveraging advanced indexing algorithms and efficient memory management for production-scale AI applications.
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