Milvus Trends at 44,082 Stars — Vector Database Ships IVF_RABITQ 1-Bit Quantization Delivering 3-4x Throughput vs Elasticsearch at 95% Recall

GitHub·low signal

Milvus's 2.6 series introduced IVF_RABITQ 1-bit quantization that compresses vector indexes to 1/32 of original size while maintaining 95% recall with optional SQ8 refinement using just 1/4 of the original memory footprint. Benchmarks against the BEIR dataset show 3-4x higher throughput than Elasticsearch with equivalent recall rates, reaching 7x for specific workloads, while the latest v2.6.10 patch addresses security vulnerability CVE-2026-26190.