Source page
docs.aws.amazon.com/prescriptive-guidance/latest/choosing-an-aws-vector-database-for-rag-use-cases/vector-db-comparison.html
https://docs.aws.amazon.com/prescriptive-guidance/latest/choosing-an-aws-vector-database-for-rag-use-cases/vector-db-comparison.html as a canonical citation page in Rank.ai's public AI answer benchmark.
#15
Best position, on Most-cited pages in Vector Databases answers
1
Board it ranks on
At a glance
What we know about docs.aws.amazon.com/prescriptive-guidance/latest/choosing-an-aws-vector-database-for-rag-use-cases/vector-db-comparison.html
Its published ranks, facts, evidence and relationships in one place. A value that was not published stays blank.
- Boards
- 1
- Metrics
- 7
- Published observations
- 14
- Primary sources
- 1
Facts
The latest value of each metric
100% confidence · as of Sep 12, 2026 · Source: Rank.ai Vector Databases Prompt Benchmark, grade A| Metric | Value |
|---|---|
| Best citation position | 2 positionmeasured |
| Cited answers | 2 answersmeasured |
| Cited-answer coverage | 5.56 percentderived |
| Engine breadth | 2 enginesmeasured |
| Mean citation position | 4 positionderived |
| Median citation position | 4 positionderived |
| Prompt breadth | 1 promptsmeasured |
Rankings
Where docs.aws.amazon.com/prescriptive-guidance/latest/choosing-an-aws-vector-database-for-rag-use-cases/vector-db-comparison.html ranks
Every published position, as of Sep 12, 2026 · 100% confidence.
| Rank | Board | Score | Movement | Explain |
|---|---|---|---|---|
| 15 | Most-cited pages in Vector Databases answers | 5.56 | 11 ranks gained | Why this rank on Most-cited pages in Vector Databases answers |
Why this rank
docs.aws.amazon.com/prescriptive-guidance/latest/choosing-an-aws-vector-database-for-rag-use-cases/vector-db-comparison.html on Most-cited pages in Vector Databases answers
Snapshot of Sep 12, 2026, 12:00 AM UTC · Link to this snapshot
Some explanation inputs are unavailable. Not published: the evidence frozen with this snapshot.
Ranks privacy-safe canonical citation pages in the complete public prompt benchmark without additional provider calls.
15
Rank on this board
5.556 percent
Score
36
Answers behind the score
100% confidence · 1 of 1 components evidenced
What the score is built from
1 of 1 evidencedEvery component evidenced · 1 evidence record each
| Component | Value | Contribution |
|---|---|---|
| Page answer coverage | 5.555556 | 5.556 |
Moved up since the previous snapshot
+11 places- Position numerator1 to 8+7
- Page mean position1 to 4+3
- Page median position1 to 4+3
- Page answer coverage2.778 to 5.556+2.778
- Position denominator1 to 2+1
- Page best position1 to 2+1
- Page cited answer1 to 2+1
- Page engine breadth1 to 2+1
- Answer denominator36 to 360
- Engine denominator3 to 30
- Prompt denominator12 to 120
- Page prompt breadth1 to 10
Where each number comes from
7 public recordsCited-answer coveragePage answer coverage · observed Sep 12, 2026, 12:00 AM UTC5.556 percent100% confidence
- Source
- Rank.ai Vector Databases Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Best citation positionPage best position · observed Sep 12, 2026, 12:00 AM UTC2 position100% confidence
- Source
- Rank.ai Vector Databases Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["e33dd985-f176-4ab4-9454-aee96d33c088","dcbac240-1491-4352-842c-0806750555ae","0d37b2a2-eb3a-439a-a79f-41e84711c1a4","bf953d93-d4cf-4f60-a020-6d347d999323","071dbba4-9632-433a-b537-174e3f51b2de","ba80dea3-391d-4437-9459-e60a9d2ea270","9124e2fb-1ff5-4d4e-a5a4-f73819f680a0","0bc1d0cf-6fe6-4ac9-84ec-c865babfcab8","d5047f79-2f05-40f8-86a9-6cb4a813ed07","cef04144-25c1-44e7-ad6e-7f5f564b05ef","3585da81-4f5f-492f-9da3-a3fbf759d91d","1c6b58cf-7892-4808-93ae-6dbb60ecc298","b783808a-2cf8-431f-9345-d4b420ff2cec","08d3b7f5-a9d2-4e9e-9c5c-f6556f5ddbb8","f705d98a-5806-4721-a721-a502ef397f5c","0b1394c3-a8ca-47b3-a187-684d6a145034","3c9d31d8-537e-40f2-b7f2-216c0859da16","080de0fb-96ee-44d0-96a5-51bc5ee55213","54094093-8713-40cf-a8b0-49631e8d91a6","7b904caf-c982-47d4-8de3-1d1ccd86b56e","8e5d85b5-7830-4473-8e40-c607c13b54ba","2047a3bb-e040-4b7b-82b6-bde729dd621a","8588f880-47ff-4daf-8bc6-f38d0d042e19","5c0d184c-90d6-4362-a70f-146080a509e7","4ae3f702-03fe-4114-bf19-3e004b674d38","38d5e84f-c1cd-4974-8d4d-7a0f20cfb88d","2f773a7d-d6f0-4f03-ace9-469ec5ced46d","a8d43bb0-c5f0-45a3-956f-a653df389bdc","9e4ec911-0582-44fe-9676-7a41f7739e01","0e2afed9-0e73-47fa-b652-54438e0c6550","e61d72df-b2a3-4fcb-b5b9-74f69aebac68","f34c5a15-9290-4144-9dcd-f5100777220c","8502a803-448b-41df-8089-513d17573c3e","1469281a-da62-4e78-8a6d-ed5d882547cf","bae7de20-12db-4bb0-80ec-91c424506360","97ece4d4-251c-4d3a-9366-6e5fe4bd799c"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Cited answersPage cited answer · observed Sep 12, 2026, 12:00 AM UTC2 answers100% confidence
- Source
- Rank.ai Vector Databases Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["e33dd985-f176-4ab4-9454-aee96d33c088","dcbac240-1491-4352-842c-0806750555ae","0d37b2a2-eb3a-439a-a79f-41e84711c1a4","bf953d93-d4cf-4f60-a020-6d347d999323","071dbba4-9632-433a-b537-174e3f51b2de","ba80dea3-391d-4437-9459-e60a9d2ea270","9124e2fb-1ff5-4d4e-a5a4-f73819f680a0","0bc1d0cf-6fe6-4ac9-84ec-c865babfcab8","d5047f79-2f05-40f8-86a9-6cb4a813ed07","cef04144-25c1-44e7-ad6e-7f5f564b05ef","3585da81-4f5f-492f-9da3-a3fbf759d91d","1c6b58cf-7892-4808-93ae-6dbb60ecc298","b783808a-2cf8-431f-9345-d4b420ff2cec","08d3b7f5-a9d2-4e9e-9c5c-f6556f5ddbb8","f705d98a-5806-4721-a721-a502ef397f5c","0b1394c3-a8ca-47b3-a187-684d6a145034","3c9d31d8-537e-40f2-b7f2-216c0859da16","080de0fb-96ee-44d0-96a5-51bc5ee55213","54094093-8713-40cf-a8b0-49631e8d91a6","7b904caf-c982-47d4-8de3-1d1ccd86b56e","8e5d85b5-7830-4473-8e40-c607c13b54ba","2047a3bb-e040-4b7b-82b6-bde729dd621a","8588f880-47ff-4daf-8bc6-f38d0d042e19","5c0d184c-90d6-4362-a70f-146080a509e7","4ae3f702-03fe-4114-bf19-3e004b674d38","38d5e84f-c1cd-4974-8d4d-7a0f20cfb88d","2f773a7d-d6f0-4f03-ace9-469ec5ced46d","a8d43bb0-c5f0-45a3-956f-a653df389bdc","9e4ec911-0582-44fe-9676-7a41f7739e01","0e2afed9-0e73-47fa-b652-54438e0c6550","e61d72df-b2a3-4fcb-b5b9-74f69aebac68","f34c5a15-9290-4144-9dcd-f5100777220c","8502a803-448b-41df-8089-513d17573c3e","1469281a-da62-4e78-8a6d-ed5d882547cf","bae7de20-12db-4bb0-80ec-91c424506360","97ece4d4-251c-4d3a-9366-6e5fe4bd799c"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Engine breadthPage engine breadth · observed Sep 12, 2026, 12:00 AM UTC2 engines100% confidence
- Source
- Rank.ai Vector Databases Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Mean citation positionPage mean position · observed Sep 12, 2026, 12:00 AM UTC4 position100% confidence
- Source
- Rank.ai Vector Databases Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Median citation positionPage median position · observed Sep 12, 2026, 12:00 AM UTC4 position100% confidence
- Source
- Rank.ai Vector Databases Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["e33dd985-f176-4ab4-9454-aee96d33c088","dcbac240-1491-4352-842c-0806750555ae","0d37b2a2-eb3a-439a-a79f-41e84711c1a4","bf953d93-d4cf-4f60-a020-6d347d999323","071dbba4-9632-433a-b537-174e3f51b2de","ba80dea3-391d-4437-9459-e60a9d2ea270","9124e2fb-1ff5-4d4e-a5a4-f73819f680a0","0bc1d0cf-6fe6-4ac9-84ec-c865babfcab8","d5047f79-2f05-40f8-86a9-6cb4a813ed07","cef04144-25c1-44e7-ad6e-7f5f564b05ef","3585da81-4f5f-492f-9da3-a3fbf759d91d","1c6b58cf-7892-4808-93ae-6dbb60ecc298","b783808a-2cf8-431f-9345-d4b420ff2cec","08d3b7f5-a9d2-4e9e-9c5c-f6556f5ddbb8","f705d98a-5806-4721-a721-a502ef397f5c","0b1394c3-a8ca-47b3-a187-684d6a145034","3c9d31d8-537e-40f2-b7f2-216c0859da16","080de0fb-96ee-44d0-96a5-51bc5ee55213","54094093-8713-40cf-a8b0-49631e8d91a6","7b904caf-c982-47d4-8de3-1d1ccd86b56e","8e5d85b5-7830-4473-8e40-c607c13b54ba","2047a3bb-e040-4b7b-82b6-bde729dd621a","8588f880-47ff-4daf-8bc6-f38d0d042e19","5c0d184c-90d6-4362-a70f-146080a509e7","4ae3f702-03fe-4114-bf19-3e004b674d38","38d5e84f-c1cd-4974-8d4d-7a0f20cfb88d","2f773a7d-d6f0-4f03-ace9-469ec5ced46d","a8d43bb0-c5f0-45a3-956f-a653df389bdc","9e4ec911-0582-44fe-9676-7a41f7739e01","0e2afed9-0e73-47fa-b652-54438e0c6550","e61d72df-b2a3-4fcb-b5b9-74f69aebac68","f34c5a15-9290-4144-9dcd-f5100777220c","8502a803-448b-41df-8089-513d17573c3e","1469281a-da62-4e78-8a6d-ed5d882547cf","bae7de20-12db-4bb0-80ec-91c424506360","97ece4d4-251c-4d3a-9366-6e5fe4bd799c"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}
Prompt breadthPage prompt breadth · observed Sep 12, 2026, 12:00 AM UTC1 prompts100% confidence
- Source
- Rank.ai Vector Databases Prompt Benchmark
- Grade
- A
- Freshness
- fresh
- Locator
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Evidence
Figures and their sources
The latest reading of 7 figures for docs.aws.amazon.com/prescriptive-guidance/latest/choosing-an-aws-vector-database-for-rag-use-cases/vector-db-comparison.html, all at 100% confidence, read Sep 12, 2026. Open a row's source for where it was found and how it was read.
| Metric | Value | Kind | Evidence |
|---|---|---|---|
| Median citation positionPeriod to Sep 13, 2026 · 2 readings | 4position | derived | View source
|
| Cited-answer coveragePeriod to Sep 13, 2026 · 2 readings | 5.6% | derived | View source
|
| Cited answersPeriod to Sep 13, 2026 · 2 readings | 2answers | measured | View source
|
| Mean citation positionPeriod to Sep 13, 2026 · 2 readings | 4position | derived | View source
|
| Best citation positionPeriod to Sep 13, 2026 · 2 readings | 2position | measured | View source
|
| Engine breadthPeriod to Sep 13, 2026 · 2 readings | 2engines | measured | View source
|
| Prompt breadthPeriod to Sep 13, 2026 · 2 readings | 1prompts | measured | View source
|
See how often AI names you.
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