Use case
AI / ML platforms: fewer indexes, fewer copies, clearer recall policy.
AI / ML
Consolidate the serving layer around embeddings and features.
Vector search
Replace separate ANN indexes with latent scan + SQ8 rerank where the Atlas says the workload recovers.
Feature serving
Serve features from the same representation used for query and cache surfaces.
RAG infrastructure
Reduce duplicated stores around embeddings, metadata, search, and cache.
Proof packs
Use HX-Provenance for signed benchmark and evaluation receipts.