Binary Embeddings
Learn how binary embeddings use 1-bit quantization for ultra-compact vector representations, enabling billion-scale similarity search with 32x memory reduction.
7 min readConcept
Explore machine learning concepts related to quantization. Clear explanations and practical insights.
Learn how binary embeddings use 1-bit quantization for ultra-compact vector representations, enabling billion-scale similarity search with 32x memory reduction.
Master vector compression techniques from scalar to product quantization. Learn how to reduce memory usage by 10-100× while preserving search quality.
Embedding quantization simulator: explore memory-accuracy trade-offs from float32 to int8 and binary representations for retrieval.