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Buying question

Which vector database is best for a multi-tenant SaaS product that needs namespace isolation and filtered retrieval?

Which brands each model API named when asked this question, and which pages it cited. Answer text is not published.
Snapshot Sep 12, 2026. Each category is re-run in rotation, every few weeks.

Recommendation

Kind of question

3

Model APIs

5

Brands named

12

Pages cited

Brands

Brands the answers named

Ordered by how many model APIs named the brand, then by mentions. A mention is not an endorsement or a position.
Rank#BrandModel APIsMentionsOwn-site citationsNamed by
1Pineconepinecone.io274OpenAI · Google
2Weaviateweaviate.io260OpenAI · Google
3Qdrantqdrant.tech230OpenAI · Google
4Zilliz Cloud / Milvuszilliz.com130OpenAI
5Amazon OpenSearch Serviceaws.amazon.com101OpenAI

Model APIs

What each model API returned

One row per model API. The hash identifies the exact answer without publishing it.
Model APIModelBrands namedCitationsDomainsAnswer hash
OpenAIopenai/gpt-4o-miniPinecone · Weaviate · Qdrant · Zilliz Cloud / Milvus · Amazon OpenSearch Service76f0532c81…cabc9
Anthropicanthropic/claude-haiku-4-5None named00127b014a…84102
Googlegoogle/gemini-2.5-flashPinecone · Weaviate · Qdrant66760548bb…fdce4

Sources

Pages the answers cited

Hostnames come from the URLs the answers returned. Best position is the earliest place a page was cited in an answer.
DomainCited pageBest positionCited byCitations
pinecone.iohttps://pinecone.io/learn/series/vector-databases-in-production-for-busy-engineers/vector-database-multi-tenancy/1OpenAI · Google2
blog.sugiv.fyihttps://blog.sugiv.fyi/building-faster-multi-tenant-vector-search-curator2Google1
community.pinecone.iohttps://community.pinecone.io/t/is-the-architecture-of-pinecone-multi-tenant/8672OpenAI1
npblue.comhttps://npblue.com/ai/rag/multi-tenant-vector-stores/3Google1
reddit.comhttps://reddit.com/r/vectordatabase/comments/1csz7l8/multitenancy_for_vectordbs/3OpenAI1
aws.amazon.comhttps://aws.amazon.com/blogs/apn/reimagining-vector-databases-for-the-generative-ai-era-with-pinecone-serverless-on-aws/4OpenAI1
digeniotech.comhttps://digeniotech.com/ai-resource/vector-db/multi-tenancy-vector-databases-isolating-data-at-scale.php4Google1
community.pinecone.iohttps://community.pinecone.io/t/is-the-architecture-of-pinecone-multi-tenant/867/25OpenAI1
medium.comhttps://medium.com/@ThinkingLoop/5-ironclad-rules-for-multi-tenant-vector-isolation-41d8ec2c3a205Google1
runtime.newshttps://runtime.news/pinecones-new-serverless-architecture-hopes-to-make-the-vector-database-more-versatile/6OpenAI1
youtube.comhttps://youtube.com/watch?v=QAFb_rVrirs6Google1
arxiv.orghttps://arxiv.org/html/2401.07119v17OpenAI1
Snapshots
794067bc-f4fa-456f-8063-1db7efff0c35
Question set
vector-database-platforms-2026-07-27
Benchmark version
4-vector-database-platforms-2026-07-27-models-64232fd32583
What is kept
Measured in Vector DBs. Full answers are not stored or published, and no customer data is included.

See how often AI names you.

Enter your website. In about two minutes, Rank.ai asks ChatGPT, Claude and Gemini 12 questions your customers ask and grades how often they name you.

  • Your grade out of 100How often AI names you, cites your site, and how high it ranks you.
  • Who gets namedEvery competitor in the answers, most named first.
  • The pages AI readsThe sources behind each answer.
  • Three fixesWhat to fix first, with a brief for the first article.