Data Science & Analytics
Vector Quantization
Semantic vector search and 1-bit RaBitQ quantization over ruflo memory. Use when the user needs similarity search over stored patterns or embeddings, wants to shrink a large embedding store (~32x smaller), or asks why recall is low. Skip for exact key lookups (use memory_retrieve) or tiny stores (<1k entries), where plain search is already exact.
- Publisher / source
- ruvnet/ruflo (found on skills.sh, the CSV list)
- Upstream record
- ruvnet/ruflo
- Version
- Version 1
- Published
- Publication review
- Approved for publication
- Content fingerprint
a4869533c4273e648bcb3dc7e58d97ef6bca3f42477cbdb9061603bf484f122c