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LIVE RANKINGS & DATA
Loading the latest published snapshot and its supporting evidence.
Public commercial prompt in the Rank.ai Vector Databases benchmark.
A current roll-up of published ranks, normalized facts, primary evidence, and entity relationships. No missing value is inferred.
| Metric | Value | As of | Evidence | Confidence |
|---|---|---|---|---|
| public_prompt_insightsCross-engine brand disagreement | 33.33 percentderived | Jul 27, 2026 | Rank.ai Vector Databases Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsDistinct citation URLs | 18 urlsmeasured | Jul 27, 2026 | Rank.ai Vector Databases Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsDistinct reviewed brands surfaced | 2 brandsmeasured | Jul 27, 2026 | Rank.ai Vector Databases Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsLeading-brand engine consensus | 100 percentderived | Jul 27, 2026 | Rank.ai Vector Databases Prompt Benchmark ↗Grade A | 100% |
| public_prompt_insightsReviewed-brand presence events | 4 presence_eventsmeasured | Jul 27, 2026 | Rank.ai Vector Databases Prompt Benchmark ↗Grade A | 100% |
Every currently published position, joined to its snapshot, confidence, and methodology version.
| Rank | Leaderboard | Score | Movement | Confidence | As of | Method | Open explanation |
|---|---|---|---|---|---|---|---|
| #4 | Vector Databases Prompt Brand Leadersvector-database-platforms-prompt-brand-leaders | 100 | — | 100% | Jul 27, 2026 | v1-parent-8f2516a7bd0dea82 | Explain → |
| #10 | Vector Databases Engine Disagreement by Promptvector-database-platforms-prompt-engine-disagreement | 33.33 | — | 100% | Jul 27, 2026 | v1-parent-8f2516a7bd0dea82 | Explain → |
Derives prompt-level brand leaders and cross-engine brand-set disagreement from the complete public Rank.ai benchmark cohort.
Some explanation inputs are unavailable Missing: comparablePriorRanking.
| Component | Value | Weight | Contribution | Evidence | Status |
|---|---|---|---|---|---|
| public prompt brand presence events | 4 | 0% | — | 1 | available |
| public prompt citation urls | 18 | 0% | — | 1 | available |
| public prompt distinct reviewed brands |
5 published observations for How should an engineering team evaluate vector search benchmark claims for recall, tail latency, throughput, scale, and total cost?. Open a row for the source, evidence location, extraction method, and quality state.
| Metric | Value | Kind | As of | Confidence | Evidence |
|---|---|---|---|---|---|
| Cross-engine brand disagreementpublic-prompt-engine-disagreement | 33.3333percent | derived | Jul 27, 2026 | 100% | View source
|
| Reviewed-brand presence eventspublic-prompt-brand-presence-events | 4presence_events | measured | Jul 27, 2026 | 100% | View source
|
| 2 |
| 0% |
| — |
| 1 |
| available |
| public prompt engine disagreement | 33.333333 | 0% | — | 1 | available |
|---|
| public prompt leading brand consensus | 100 | 100% | 100 | 1 | available |
|---|
no_prior_published_snapshot
No comparable component drivers were published.
{"promptSlug":"evaluate-vector-benchmark-claims","corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["3653de7b-5761-4b24-abe1-5cf551c29bc3","9a24d249-93f7-4649-9037-20756ca510c1","fce94351-df05-4ffb-97c5-526886e1a9c8"],"parentSnapshotId":"7cc7cbd3-7c7e-40c6-974d-babffdce0fc8","providerMatrixVersion":"64232fd32583"}{"promptSlug":"evaluate-vector-benchmark-claims","corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["3653de7b-5761-4b24-abe1-5cf551c29bc3","9a24d249-93f7-4649-9037-20756ca510c1","fce94351-df05-4ffb-97c5-526886e1a9c8"],"parentSnapshotId":"7cc7cbd3-7c7e-40c6-974d-babffdce0fc8","providerMatrixVersion":"64232fd32583"}{"promptSlug":"evaluate-vector-benchmark-claims","corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["3653de7b-5761-4b24-abe1-5cf551c29bc3","9a24d249-93f7-4649-9037-20756ca510c1","fce94351-df05-4ffb-97c5-526886e1a9c8"],"parentSnapshotId":"7cc7cbd3-7c7e-40c6-974d-babffdce0fc8","providerMatrixVersion":"64232fd32583"}{"promptSlug":"evaluate-vector-benchmark-claims","corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["3653de7b-5761-4b24-abe1-5cf551c29bc3","9a24d249-93f7-4649-9037-20756ca510c1","fce94351-df05-4ffb-97c5-526886e1a9c8"],"parentSnapshotId":"7cc7cbd3-7c7e-40c6-974d-babffdce0fc8","providerMatrixVersion":"64232fd32583"}{"promptSlug":"evaluate-vector-benchmark-claims","corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["3653de7b-5761-4b24-abe1-5cf551c29bc3","9a24d249-93f7-4649-9037-20756ca510c1","fce94351-df05-4ffb-97c5-526886e1a9c8"],"parentSnapshotId":"7cc7cbd3-7c7e-40c6-974d-babffdce0fc8","providerMatrixVersion":"64232fd32583"}{"promptSlug":"evaluate-vector-benchmark-claims","corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["3653de7b-5761-4b24-abe1-5cf551c29bc3","9a24d249-93f7-4649-9037-20756ca510c1","fce94351-df05-4ffb-97c5-526886e1a9c8"],"parentSnapshotId":"7cc7cbd3-7c7e-40c6-974d-babffdce0fc8","providerMatrixVersion":"64232fd32583"}| Distinct citation URLspublic-prompt-citation-urls | 18urls | measured | Jul 27, 2026 | 100% | View source
|
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| Leading-brand engine consensuspublic-prompt-leading-brand-consensus | 100percent | derived | Jul 27, 2026 | 100% | View source
|
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| Distinct reviewed brands surfacedpublic-prompt-distinct-reviewed-brands | 2brands | measured | Jul 27, 2026 | 100% | View source
|
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