1 link tagged with all of: quantization + pinterest-engineering + embeddings + nearest-neighbor-search
Click any tag below to further narrow down your results
Links
Pinterest engineered Manas, an embedding retrieval system handling billions of vectors with approximate nearest neighbor search, hybrid queries, and real-time updates. They optimized it through quantization techniques that cut computing resources by 10-15% while maintaining search accuracy.
- SIMD intrinsics on 8-bit integers reduced per-query compute by 10-15% without sacrificing performance
- Product quantization on disk storage paired with full-precision centroids improved both accuracy and throughput, diverging from the original SPANN approach
- The system supports hybrid queries combining token and embedding search with sub-second indexing of new content