Loading company intelligence…
Loading the latest published snapshot and its supporting evidence.
Loading the latest published snapshot and its supporting evidence.
https://medium.com/mongodb/vector-databases-vs-traditional-databases-when-should-you-use-mongodb-c32c9aa67657 as a canonical citation page in Rank.ai's public AI answer benchmark.
A current roll-up of published ranks, normalized facts, primary evidence, and entity relationships. No missing value is inferred.
| Metric | Value |
|---|---|
| public_prompt_pagesBest citation position | 5 positionmeasured |
| public_prompt_pagesCited answers | 1 answersmeasured |
| public_prompt_pagesCited-answer coverage | 2.78 percentderived |
| public_prompt_pagesEngine breadth | 1 enginesmeasured |
| public_prompt_pagesMean citation position | 5 positionderived |
| public_prompt_pagesMedian citation position | 5 positionderived |
| public_prompt_pagesPrompt breadth | 1 promptsmeasured |
Every currently published position, as of Aug 4, 2026 · 100% confidence · methodology v1-parent-8f2516a7bd0dea82.
| Rank | Leaderboard | Score | Explain |
|---|---|---|---|
| #92 | Most-cited pages in Vector Databases answers | 2.78 | Explain Most-cited pages in Vector Databases answers rank → |
Ranks privacy-safe canonical citation pages in the complete public prompt benchmark without additional provider calls.
Some explanation inputs are unavailable Missing: publicFrozenEvidence, comparablePriorRanking.
100% confidence · 41% component coverage · as of Aug 4, 2026, 12:00 AM UTC
| Component | Value | Weight | Contribution | Evidence | Status |
|---|---|---|---|---|---|
| aggregateArtifactHash | 76f758c7917e90e505462f8780e006bf71647eca1f0e6fc1ba77fe6223b16468 | Unavailable | — | 0 | unavailableno_public_frozen_evidence |
| answerDenominator | 36 | Unavailable | 36 | 0 | unavailableno_public_frozen_evidence |
7 published observations for medium.com/mongodb/vector-databases-vs-traditional-databases-when-should-you-use-mongodb-c32c9aa67657, all at 100% confidence, as of Aug 4, 2026. Open a row for the source, evidence location, extraction method, and quality state.
| Metric | Value | Kind | Evidence |
|---|---|---|---|
| Cited answerspublic-prompt-page-cited-answer-count | 1answers | measured | View source
|
| canonicalHostname |
|---|
| medium.com |
| Unavailable |
| — |
| 0 |
| unavailableno_public_frozen_evidence |
| canonicalPageUrl | https://medium.com/mongodb/vector-databases-vs-traditional-databases-when-should-you-use-mongodb-c32c9aa67657 | Unavailable | — | 0 | unavailableno_public_frozen_evidence |
|---|
| engineDenominator | 3 | Unavailable | 3 | 0 | unavailableno_public_frozen_evidence |
|---|
| positionDenominator | 1 | Unavailable | 1 | 0 | unavailableno_public_frozen_evidence |
|---|
| positionNumerator | 5 | Unavailable | 5 | 0 | unavailableno_public_frozen_evidence |
|---|
| promptDenominator | 12 | Unavailable | 12 | 0 | unavailableno_public_frozen_evidence |
|---|
| public prompt page answer coverage | 2.777778 | 100% | 2.778 | 1 | available |
|---|
| public prompt page best position | 5 | 0% | 0 | 1 | available |
|---|
| public prompt page cited answer count | 1 | 0% | 0 | 1 | available |
|---|
| public prompt page engine breadth | 1 | 0% | 0 | 1 | available |
|---|
| public prompt page mean position | 5 | 0% | 0 | 1 | available |
|---|
| public prompt page median position | 5 | 0% | 0 | 1 | available |
|---|
| public prompt page prompt breadth | 1 | 0% | 0 | 1 | available |
|---|
| queryStringsPublished | 0 | Unavailable | — | 0 | unavailableno_public_frozen_evidence |
|---|
| sourceVisibilityOnly | 1 | Unavailable | — | 0 | unavailableno_public_frozen_evidence |
|---|
no_prior_published_snapshot
No component moved since the prior snapshot.
{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}{"corpusVersion":"vector-database-platforms-2026-07-27","runArtifactIds":["1d2304fe-4caf-4eff-a303-d745fccefa3a","13fb534c-a74c-4514-a3c6-0ab324630a01","b3ca6315-6ba0-40f5-bea4-739dc364e698","a1a1d7c9-6218-46b0-8af2-1f1e9059c0a2","e195c096-1ed9-4e1c-8568-0ff69cc6851e","899f58a5-f75b-44ad-a102-103449600fa9","ffdb2e81-c2be-4a0b-a2b4-6f2ba1d9618c","657a2bb5-aee8-49fb-9baa-f6e784cef438","19046fe5-2a1e-497f-93ea-aeb53312e4f9","ab05d251-5a69-4365-9f54-c7b2174ae222","580d1181-4bc6-4ed8-aefd-4c84c861d901","1d0a7636-705d-40ef-ac65-b9f58180d858","88600047-4a5e-4894-892a-934d4e255b22","a1c8c749-4e16-4fa9-84fc-7ee5a7ed0a02","961ae04f-e6cc-42bd-81fc-b89e583a6c14","d7733b38-8b4f-46ba-9eee-44894bad539d","7b32e70b-d69c-445e-a3ca-c50d9c27139e","78fd23e4-aba8-4342-9363-8cca75798517","bef1ef13-d992-4c82-b1bd-89c834f466cd","2478b994-7bc1-4620-9d82-3137e0736022","b472492d-44d1-4b9a-9cfa-d6142993e96b","b1817f64-06ce-4783-bc39-9bc04decbb71","261dbf27-4360-4faa-80f2-fca543630d92","7291e104-d44c-4f04-b880-af5909231949","53bdb1fd-52d6-4a0e-8a80-fd997d60a6a1","e7278834-f2c0-411e-bd49-b6a785776806","138a3045-3166-4051-a3c8-987471a43d21","70bdcf87-bc9a-4b14-b3d0-de8701be8754","254e2628-e19c-464b-9854-10295b1afe26","f5b25e63-ae25-40ea-9b35-6d0607db4c4e","4953d826-fd76-487b-a416-bc3a1c2d1eb5","77066b75-85df-4cef-9750-bc1b5f4dc343","28474bc1-0d08-4b4f-a45c-a56619923704","390a26e8-1c40-4924-ac93-319d156dc0b3","7aaef998-8539-4d6b-921f-823d4d46a9b6","1479b6b4-9744-4e44-a514-a121f31baed7"],"benchmarkVersion":"4-vector-database-platforms-2026-07-27-models-64232fd32583","providerMatrixVersion":"64232fd32583"}| Best citation positionpublic-prompt-page-best-position | 5position | measured | View source
|
|---|
| Engine breadthpublic-prompt-page-engine-breadth | 1engines | measured | View source
|
|---|
| Cited-answer coveragepublic-prompt-page-answer-coverage | 2.7778percent | derived | View source
|
|---|
| Mean citation positionpublic-prompt-page-mean-position | 5position | derived | View source
|
|---|
| Prompt breadthpublic-prompt-page-prompt-breadth | 1prompts | measured | View source
|
|---|
| Median citation positionpublic-prompt-page-median-position | 5position | derived | View source
|
|---|