{"type":"analysis","id":"analysis:research-zilliz-cloud-can-serve-hyperbolic-embeddings-with-plain-inner-product-search","slug":"research-zilliz-cloud-can-serve-hyperbolic-embeddings-with-plain-inner-product-search","title":"Zilliz Cloud can serve hyperbolic embeddings with plain inner-product search, but the evidence covers one model on one dataset","description":"A Milvus blog series shows that a query sign flip and an ingest-time centering step let a standard managed index return Lorentz (hyperbolic) rankings. The reported result is about 0.98 recall@10 at about 4 ms. These are vendor numbers on ImageNet with Hyper3-CLIP V1, and there is no native hyperbolic metric or new product launch.","published_at":"2026-10-21T20:00:00.000Z","updated_at":"2026-10-21T20:00:00.000Z","record_date":"2026-10-21","topics":["search","design","retrieval","research"],"source_urls":["https://milvus.io/blog/your-vector-database-already-speaks-hyperbolic.md","https://milvus.io/blog/hyperbolic-embeddings-in-milvus.md","https://arxiv.org/abs/2608.29313","https://milvus.io/blog/hyperbolic-search-on-zilliz-cloud.md","https://docs.zilliz.com/docs/tune-index-build-level","https://arxiv.org/abs/2602.07739","https://huggingface.co/hyper3labs/hyper3-clip-v1"],"language":"en","routes":{"html":"https://newruntime.com/analysis/research-zilliz-cloud-can-serve-hyperbolic-embeddings-with-plain-inner-product-search/","markdown":"https://newruntime.com/analysis/research-zilliz-cloud-can-serve-hyperbolic-embeddings-with-plain-inner-product-search.md","json":"https://newruntime.com/analysis/research-zilliz-cloud-can-serve-hyperbolic-embeddings-with-plain-inner-product-search.json"},"author":{"role":"author","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]},"editorial_provenance":{"desk":"authorial","target_ref":"deep_research:c2a9cedc-f871-42b0-8cd7-39af40ee8215","authorial_article_id":"c2a9cedc-f871-42b0-8cd7-39af40ee8215"},"next_reads":[{"type":"topic","path":"/topics/search/","url":"https://newruntime.com/topics/search/","title":"Search","reason":"Explore the search topic hub.","media_type":"text/html","markdown_url":"https://newruntime.com/topics/search.md","json_url":"https://newruntime.com/topics/search.json"},{"type":"topic","path":"/topics/design/","url":"https://newruntime.com/topics/design/","title":"Design","reason":"Explore the design topic hub.","media_type":"text/html","markdown_url":"https://newruntime.com/topics/design.md","json_url":"https://newruntime.com/topics/design.json"},{"type":"topic","path":"/topics/retrieval/","url":"https://newruntime.com/topics/retrieval/","title":"Retrieval","reason":"Explore the retrieval topic hub.","media_type":"text/html","markdown_url":"https://newruntime.com/topics/retrieval.md","json_url":"https://newruntime.com/topics/retrieval.json"},{"type":"collection","path":"/analysis/","url":"https://newruntime.com/analysis/","title":"Analysis","reason":"Open the latest authorial analysis.","media_type":"text/html","json_url":"https://newruntime.com/analysis.json"},{"type":"collection","path":"/source-ledger.json","url":"https://newruntime.com/source-ledger.json","title":"Source Ledger","reason":"Inspect the public source evidence graph.","media_type":"application/json"}]}