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Optimizing Large Vector Embeddings with Advanced Storage Techniques
This chapter focuses on the challenges of handling large vector embeddings in data applications, particularly the memory limitations when using large indexes. It explores solutions such as disk storage for full-size vectors and highlights the effectiveness of product quantization techniques for achieving high compression and maintaining accuracy.