Rank.ai
Menu
Live
BUYER PROMPT / PUBLISHED EVIDENCE

How should an engineering team evaluate vector search benchmark claims for recall, tail latency, throughput, scale, and total cost?

An exact prompt-level view of which reviewed brands surfaced and which public URLs the configured AI models cited. No answer text or tenant data is published.

Intent
commercial
Model providers
3
Categories
1
Last observed
Jul 27, 2026, 12:00 AM UTC
COMPETITIVE OUTCOME

Brands surfaced

Ordered by provider breadth, then total mentions and owned-domain citations. A mention is not an endorsement or a position claim.

#BrandCategoryProvidersMentionsOwned citationsProvider evidence
01Zilliz Cloud / Milvuszilliz.comVector DBs313Openai · Anthropic · Gemini
02Pineconepinecone.ioVector DBs101Openai
MODEL COMPARISON

Answer matrix

One row per configured provider and category snapshot. Hashes prove answer identity without publishing stored answer text.

ProviderModel versionCategoryBrands surfacedCitationsUnique domainsAnswer hash
Openaiopenai/gpt-4o-miniVector DBsPinecone · Zilliz Cloud / Milvus8756d261c7…d3fed
Anthropicanthropic/claude-haiku-4-5Vector DBsZilliz Cloud / Milvus444fd357db…6e233
Geminigoogle/gemini-2.5-flashVector DBsZilliz Cloud / Milvus66beee8aea…09530
URL-DERIVED CITATIONS

Sources cited

Hostnames are derived from the returned public URLs. Best position is the smallest citation position observed.

DomainCited pageBest positionProvidersObservationsCategories
feba-systeme.comhttps://feba-systeme.com/benchmarking-vector-dbs-recall-tail-latency-and-cost1Gemini1Vector DBs
medium.comhttps://medium.com/tr-labs-ml-engineering-blog/evaluating-vector-databases-101-5f87a2366bb11Openai1Vector DBs
milvus.iohttps://milvus.io/ai-quick-reference/what-is-the-total-cost-of-ownership-for-a-semantic-search-system1Anthropic1Vector DBs
galileo.aihttps://galileo.ai/blog/mastering-rag-choosing-the-perfect-vector-database2Openai1Vector DBs
milvus.iohttps://milvus.io/ai-quick-reference/how-do-i-evaluate-vector-search-performance2Gemini1Vector DBs
reshorenow.orghttps://reshorenow.org/tco-estimator/2Anthropic1Vector DBs
medium.comhttps://medium.com/@biraja.ghoshal/total-cost-of-ownership-tco-in-agentic-ai-61f0b696e71c3Anthropic1Vector DBs
milvus.iohttps://milvus.io/ai-quick-reference/how-can-one-evaluate-the-retrieval-performance-of-a-vector-database-if-the-exact-groundtruth-nearest-neighbors-are-not-known-for-a-dataset-for-example-using-human-relevance-judgments-or-approximate-ground-truth3Openai1Vector DBs
opensourceconnections.comhttps://opensourceconnections.com/blog/2025/02/27/vector-search-navigating-recall-and-performance/3Gemini1Vector DBs
dspace.mit.eduhttps://dspace.mit.edu/handle/1721.1/1128034Gemini1Vector DBs
gosearch.aihttps://gosearch.ai/blog/glean-total-cost-of-ownership/4Anthropic1Vector DBs
linkedin.comhttps://linkedin.com/posts/ashsau_technical-guide-to-vector-databases-what-activity-7373181127437721600-ZZ3c4Openai1Vector DBs
reddit.comhttps://reddit.com/r/LangChain/comments/170jigz/my_strategy_for_picking_a_vector_database_a/5Openai1Vector DBs
scylladb.comhttps://scylladb.com/2026/05/01/vector-search-10m-benchmark/5Gemini1Vector DBs
usenix.orghttps://usenix.org/conference/fast25/presentation/tian-bing6Gemini1Vector DBs
zenml.iohttps://zenml.io/blog/vector-databases-for-rag6Openai1Vector DBs
pinecone.iohttps://pinecone.io/learn/an-opinionated-checklist-to-choose-a-vector-database/7Openai1Vector DBs
reddit.comhttps://reddit.com/r/Rag/comments/1nk5tqp/vector_databases_choosing_understanding_and/8Openai1Vector DBs
Snapshot IDs7cc7cbd3-7c7e-40c6-974d-babffdce0fc8
Corpus versionsvector-database-platforms-2026-07-27
Benchmark versions4-vector-database-platforms-2026-07-27-models-64232fd32583

Coverage: Vector DBs. Full answers stored: no · Full answers published: no · Tenant data included: no.