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Vector databases

Vector Databases prompt brand leaders

12 prompts ranked by how many of the three model APIs name the same leader.
Recorded Sep 12, 2026Rotating scheduleSource: Rank.ai's prompt benchmark: fixed buying questions put to the OpenAI, Anthropic and Google model APIs, with Rank.ai's web searchHow this board is measuredCSV / JSON

100.0%

Recommend an open-source vector database that an engineering team can self-host in its own cloud account. ranks first

Leading brand engine consensus

12

Prompts ranked

Sep 12

Snapshot recorded

2026 · Rotating schedule

3

Answers behind each row

From the OpenAI, Anthropic and Google model APIs

All 12 prompts by leading brand engine consensus

Recommend an open-source vector database that an engineering team can self-host in its own cloud account. leads at 100.0%; the middle of the board sits at 66.7%.

Ahead of second place
33.3%
Held by the top three
33%
Middle of the board
66.7%
Below half the leader
4 of 12
Rank, name and leading brand engine consensusMiddle 66.7%
  1. 1Recommend an open-source vector database that an engineering team can self-host in its own cloud account.100.0%
  2. 2Recommend a vector retrieval platform for searching text, images, audio, and other multimodal embeddings.66.7%
  3. 3What is the best serverless or usage-based vector database for a startup with an unpredictable retrieval workload?66.7%
  4. 4Recommend a low-latency vector search system for a workload that may grow to billions of embeddings.66.7%
  5. 5Which buying criteria matter most for production vector retrieval, including recall, latency, filtering, durability, and operations?66.7%
  6. 6How should a team compare vector database pricing across storage, ingestion, read throughput, replicas, and idle capacity?66.7%
  7. 7Which vector database is best for a multi-tenant SaaS product that needs namespace isolation and filtered retrieval?66.7%
  8. 8What are the best managed vector database platforms for a production retrieval-augmented generation application?66.7%
  9. 9When should a team buy a dedicated vector database instead of adding embedding search to its existing operational database?33.3%
  10. 10Which enterprise vector retrieval services offer private networking, access controls, compliance, and regional deployment?33.3%
  11. 11How should an engineering team evaluate vector search benchmark claims for recall, tail latency, throughput, scale, and total cost?33.3%
  12. 12What is the best production data platform for combining keyword retrieval, semantic retrieval, metadata filters, and reranking?33.3%

The prompt boards are re-run in rotation, about one category a day, so each board refreshes every few weeks and shows the date of its snapshot.

leading brand owned citation gap: 0 on 7 of 12 rows · 3 checks behind each row · 100% confidence across rows.

Vector Databases prompt brand leaders current rankings
RankNameLeading brand engine consensusPresence eventsCitation URLSDistinct reviewed brandsChangeWhy
01Recommend an open-source vector database that an engineering team can self-host in its own cloud account.100.0%12114 1ShowingRun it
02Recommend a vector retrieval platform for searching text, images, audio, and other multimodal embeddings.66.7%7136 2This rankRun it
03What is the best serverless or usage-based vector database for a startup with an unpredictable retrieval workload?66.7%10138 2This rankRun it
04Recommend a low-latency vector search system for a workload that may grow to billions of embeddings.66.7%3152 1This rankRun it
05Which buying criteria matter most for production vector retrieval, including recall, latency, filtering, durability, and operations?66.7%3112 6This rankRun it
06How should a team compare vector database pricing across storage, ingestion, read throughput, replicas, and idle capacity?66.7%392 3This rankRun it
07Which vector database is best for a multi-tenant SaaS product that needs namespace isolation and filtered retrieval?66.7%8125 2This rankRun it
08What are the best managed vector database platforms for a production retrieval-augmented generation application?66.7%12127 2This rankRun it
09When should a team buy a dedicated vector database instead of adding embedding search to its existing operational database?33.3%3113 2This rankRun it
10Which enterprise vector retrieval services offer private networking, access controls, compliance, and regional deployment?33.3%3113 2This rankRun it
11How should an engineering team evaluate vector search benchmark claims for recall, tail latency, throughput, scale, and total cost?33.3%282 1This rankRun it
12What is the best production data platform for combining keyword retrieval, semantic retrieval, metadata filters, and reranking?33.3%383 2This rankRun it

Compare brands

One brand against up to three competitors, answer by answer

12 questions × 3 model APIs · recorded Sep 12, 2026
Run a question live
Compared 4 of 4

27.8%

of these answers name or cite Pinecone

10 of 36 answers

23.8%

Its share of the compared brands' appearances

3

Answers citing its own site

5 links to its domains

2 of 3

Model APIs that name it

The compared brands across the filtered answers
BrandNamed or citedAgainst primaryShare of comparedMentionsAnswers citing itLinks to its siteModel APIs
Zilliz Cloud / Milvuszilliz.com33.3%12 of 36+5.6 pts28.6%23883 of 3
Weaviateweaviate.io30.6%11 of 36+2.8 pts26.2%25333 of 3
Pineconepinecone.io27.8%10 of 36Primary23.8%23352 of 3
Qdrantqdrant.tech25.0%9 of 36-2.8 pts21.4%22333 of 3

Every answer

Which compared brands each answer names

12 questions · 36 answers · a blank cell names none of the compared brands
Compared brands named in each answer, by question and model API
QuestionOpenAIopenai/gpt-4o-miniAnthropicanthropic/claude-haiku-4-5Geminigoogle/gemini-2.5-flash
01What are the best managed vector database platforms for a production retrieval-augmented generation application?Recommendation
PineconeWeaviateQdrantZilliz Cloud / Milvus
6 sourcesaa989829
None named
0 sources9fad189b
PineconeWeaviateQdrantZilliz Cloud / Milvus
6 sources7d5f3f4c
02Recommend an open-source vector database that an engineering team can self-host in its own cloud account.Recommendation
Weaviate, cited 1Qdrant, cited 1Zilliz Cloud / Milvus, cited 1
6 sourcesba4a3aa4
WeaviateQdrant, cited 1Zilliz Cloud / Milvus, cited 1
6 sourcesb99c6762
Weaviate, cited 1Qdrant, cited 1Zilliz Cloud / Milvus, cited 1
8 sources50de5eca
03Which enterprise vector retrieval services offer private networking, access controls, compliance, and regional deployment?Recommendation
Zilliz Cloud / Milvus, cited 1
3 sources87ec9273
None named
0 sourcesba722281
None named
8 sources541d86f2
04What is the best production data platform for combining keyword retrieval, semantic retrieval, metadata filters, and reranking?Recommendation
PineconeWeaviate
5 sources0c2c9c05
None named
0 sourcesf93a3b8e
None named
5 sources780d110e
05Recommend a vector retrieval platform for searching text, images, audio, and other multimodal embeddings.Recommendation
PineconeWeaviateZilliz Cloud / Milvus, cited 1
6 sourcesd4786d7b
None named
0 sources62fcf9cf
Weaviate, cited 1
7 sources3089faad
06Which vector database is best for a multi-tenant SaaS product that needs namespace isolation and filtered retrieval?Recommendation
Pinecone, cited 3WeaviateQdrantZilliz Cloud / Milvus
7 sourcesf0532c81
None named
0 sources127b014a
Pinecone, cited 1WeaviateQdrant
6 sources760548bb
07Recommend a low-latency vector search system for a workload that may grow to billions of embeddings.Recommendation
None named
8 sourcese0a1c5ed
None named
0 sources81ceee7c
None named
9 sources6cf63b9a
08What is the best serverless or usage-based vector database for a startup with an unpredictable retrieval workload?Recommendation
PineconeWeaviateQdrant
6 sourcescbea3f62
None named
0 sourcesce0741bf
PineconeQdrantZilliz Cloud / Milvus
7 sourcesb9666f1b
09How should a team compare vector database pricing across storage, ingestion, read throughput, replicas, and idle capacity?Commercial comparison
None named
4 sources66064c09
None named
0 sourcesa1b600fd
Pinecone
6 sources93e40019
10When should a team buy a dedicated vector database instead of adding embedding search to its existing operational database?Commercial comparison
Pinecone, cited 1
4 sourcesb5213ed7
None named
0 sourcese706fa34
None named
7 sourcesed59023d
11Which buying criteria matter most for production vector retrieval, including recall, latency, filtering, durability, and operations?Commercial comparison
Zilliz Cloud / Milvus, cited 1
5 sourcesd911b3cf
None named
0 sourcesaca9c10c
Zilliz Cloud / Milvus, cited 1
6 sources8a897be1
12How should an engineering team evaluate vector search benchmark claims for recall, tail latency, throughput, scale, and total cost?Commercial comparison
None named
7 sources672a4fa7
None named
0 sourcese1a061c9
Zilliz Cloud / Milvus, cited 1
3 sourcesc8248eb7

Sources

The sites these answers cite

Each site is read from the cited address itself.
Sites cited in the filtered answers
SiteAnswers citing itDistinct pagesModel APIsBest position
medium.com131021
reddit.com6722
arxiv.org6621
redis.io6431
milvus.io6432
rank.ai4511
firecrawl.dev4131
zenml.io4132
youtube.com3324
dev.to3325
pinecone.io3221
weaviate.io3223
feba-systeme.com3121
qdrant.tech3131
scylladb.com2521
docs.cloud.google.com2211
linkedin.com2221
zilliz.com2221
actian.com2212
facebook.com2212

What this report publishesThe public buying questions, the brands each answer names, the sources it cites and a fingerprint of each answer. Answer text is not published, and no customer data is in it.vector-database-platforms-2026-07-27 / 4-vector-database-platforms-2026-07-27-models-64232fd32583

Why this rank

Recommend an open-source vector database that an engineering team can self-host in its own cloud account. on Vector Databases Prompt Brand Leaders

Snapshot of Sep 12, 2026, 12:00 AM UTC · Link to this snapshot

Derives prompt-level brand leaders, cross-engine brand-set disagreement, and leading-brand owned-citation opportunity from the complete public Rank.ai benchmark cohort.

1

Rank on this board

100 percent

Score

3

Answers behind the score

100% confidence · 1 of 1 components evidenced

What the score is built from

1 of 1 evidenced

Every component evidenced · 1 evidence record each

Components of Recommend an open-source vector database that an engineering team can self-host in its own cloud account.'s score
ComponentValueContribution
Leading brand consensus100100

Moved up since the previous snapshot

+1 places
  1. Engine disagreement28.333 to 0
    -28.333
  2. Citation URLS12 to 11
    -1
  3. Distinct reviewed brands5 to 4
    -1
  4. Presence events12 to 12
    0
  5. Leading brand consensus100 to 100
    0
  6. Leading brand owned citation coverage100 to 100
    0
  7. Leading brand owned citation gap0 to 0
    0

Where each number comes from

7 public records
  • Reviewed-brand presence eventsPresence events · observed Sep 12, 2026, 12:00 AM UTC12 presence_events100% confidence
    Source
    Rank.ai Vector Databases Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"best-open-source-self-hosted-vector-database","corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["071dbba4-9632-433a-b537-174e3f51b2de","ba80dea3-391d-4437-9459-e60a9d2ea270","bf953d93-d4cf-4f60-a020-6d347d999323"],"parentSnapshotId":"794067bc-f4fa-456f-8063-1db7efff0c35","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Distinct citation URLsCitation URLS · observed Sep 12, 2026, 12:00 AM UTC11 urls100% confidence
    Source
    Rank.ai Vector Databases Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"best-open-source-self-hosted-vector-database","corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["071dbba4-9632-433a-b537-174e3f51b2de","ba80dea3-391d-4437-9459-e60a9d2ea270","bf953d93-d4cf-4f60-a020-6d347d999323"],"parentSnapshotId":"794067bc-f4fa-456f-8063-1db7efff0c35","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Distinct reviewed brands surfacedDistinct reviewed brands · observed Sep 12, 2026, 12:00 AM UTC4 brands100% confidence
    Source
    Rank.ai Vector Databases Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"best-open-source-self-hosted-vector-database","corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["071dbba4-9632-433a-b537-174e3f51b2de","ba80dea3-391d-4437-9459-e60a9d2ea270","bf953d93-d4cf-4f60-a020-6d347d999323"],"parentSnapshotId":"794067bc-f4fa-456f-8063-1db7efff0c35","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Cross-engine brand disagreementEngine disagreement · observed Sep 12, 2026, 12:00 AM UTC0 percent100% confidence
    Source
    Rank.ai Vector Databases Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"best-open-source-self-hosted-vector-database","corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["071dbba4-9632-433a-b537-174e3f51b2de","ba80dea3-391d-4437-9459-e60a9d2ea270","bf953d93-d4cf-4f60-a020-6d347d999323"],"parentSnapshotId":"794067bc-f4fa-456f-8063-1db7efff0c35","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Leading-brand engine consensusLeading brand consensus · observed Sep 12, 2026, 12:00 AM UTC100 percent100% confidence
    Source
    Rank.ai Vector Databases Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"best-open-source-self-hosted-vector-database","corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["071dbba4-9632-433a-b537-174e3f51b2de","ba80dea3-391d-4437-9459-e60a9d2ea270","bf953d93-d4cf-4f60-a020-6d347d999323"],"parentSnapshotId":"794067bc-f4fa-456f-8063-1db7efff0c35","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Leading-brand owned-citation coverageLeading brand owned citation coverage · observed Sep 12, 2026, 12:00 AM UTC100 percent100% confidence
    Source
    Rank.ai Vector Databases Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"best-open-source-self-hosted-vector-database","corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["071dbba4-9632-433a-b537-174e3f51b2de","ba80dea3-391d-4437-9459-e60a9d2ea270","bf953d93-d4cf-4f60-a020-6d347d999323"],"parentSnapshotId":"794067bc-f4fa-456f-8063-1db7efff0c35","providerMatrixVersion":"64232fd32583"}
    Open the source
  • Leading-brand owned-citation opportunityLeading brand owned citation gap · observed Sep 12, 2026, 12:00 AM UTC0 percentage_points100% confidence
    Source
    Rank.ai Vector Databases Prompt Benchmark
    Grade
    A
    Freshness
    fresh
    Locator
    {"promptSlug":"best-open-source-self-hosted-vector-database","corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["071dbba4-9632-433a-b537-174e3f51b2de","ba80dea3-391d-4437-9459-e60a9d2ea270","bf953d93-d4cf-4f60-a020-6d347d999323"],"parentSnapshotId":"794067bc-f4fa-456f-8063-1db7efff0c35","providerMatrixVersion":"64232fd32583"}
    Open the source
Public Vector Databases prompt leaders, engine disagreement, and citation opportunity, version 2-parent-8f2516a7bd0dea8284 observations · 1 source · quality passed
Snapshot
822549d3-842c-48d6-9f21-88cc27e6f7dd
Data hash
05eaf9c8190e46051bc82057f1bf7e6e6df403679a73961e3363c0c95b61cba6
Method hash
ea7d8f305edb09448d279a6242b5e3693693256a036e6b6cc7560e34ec16da40

More in Vector databases

Managed, open source and hyperscaler vector retrieval platforms ranked across a fixed buying corpus, with brand, prompt, engine and citation source views.

3 boards

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.