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Product Quantization: Compressing high-dimensional vectors by 97% | Pinecone

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Pinecone lets you add vector search to applications without knowing anything about algorithm optimizations, and it’s free to try. However, we know you like seeing how things work, so enjoy learning about memory-efficient search with product quantization!

Product Quantization: Compressing high-dimensional vectors by 97% Jump to section What is Quantization How Product Quantization Works PQ Implementation in Faiss References Pinecone lets you add vector search to applications without knowing anything about algorithm optimizations, and it’s free to try . However, we know you like seeing how things work, so enjoy learning about memory-efficient search with product quantization! Vector similarity search can require huge amounts of memory. Indexes containing 1M dense vectors (a small dataset in today’s world) will often require several GBs of memory

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