{
"$type": "site.standard.document",
"bskyPostRef": {
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"uri": "at://did:plc:lk3jfj3zq4k4wxnk474axylu/app.bsky.feed.post/3meolm25t3442"
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"path": "/t/embedding-model-outage-text-embedding-3-small-api-ev3-model-name-with-all-0-values/1374079#post_9",
"publishedAt": "2026-02-12T17:27:46.000Z",
"site": "https://community.openai.com",
"textContent": "3-small seems working. I made several calls with and without the dimensions parameters, with and without base64, all are 1536 dimensions and can provide a similarity score.\n\n\n For 3 texts, received 99909 char body\n Snippet: {\n \"object\": \"list\",\n \"data\": [\n {\n \"object\": \"embedding\",\n \"index\": 0,\n \"embedding\": [\n -0.0026644536,\n -0.02758758,\n 0.00036771712,\n 0.0039073024,\n 0.04801365,\n 0.017813696,\n 0.063282534,\n 0.003417482,\n 0.030695407,\n -0.016327344,\n -0.005967926,\n -0.034929253,\n -0.036528207,\n 0.0005278236,\n -0.024614878,\n -0.0004380936,\n -0.051436763,\n 0.011721906,\n\n (3, 1536)\n Similarity: 0.33056685\n Similarity: 0.33388305\n text-embedding-3-small\n\n\nExisting unpacker of b64:\n\n\n For 3 texts, received 24966 char body\n Snippet: {\n \"object\": \"list\",\n \"data\": [\n {\n \"object\": \"embedding\",\n \"index\": 0,\n \"embedding\": \"jSYuu6Us4rzZ2rI5pMSAO0eoRD0q1ZE8x7CBPYIxXTvIcvs8dU2GvHYuw7teKA+9tYUVveTPAzpTYMq8yIH/uY2tUr0krT88WHmYu1P3rboTKDs8ZPWNPEe3yDz2rWU90/6vvDwsz7wqPq68U6tePUeZwLtw2h+9PDvTvPzVt7zqm0e9qqADPU2UhrwN4mA8PB3LPLtwHD1NlAY93k0ZPQ3UlzwBdiq9X2Pku/bLbby82P06MHTJuxltWjwSdIo99p8cPVOOETsT3Sa8AgzTuw08+bzfl/I8xxjjOw2XzDzk3ge9ZBOWPOqMw7x2ELs7X0XcurB7S7w7lqa8U7sdvdiAmjtTuuI7JPhTPbAgeLwSdAq9DS11POqrBrxZ8Ti9qr6LO55Rm\n (3, 1536)\n Similarity: 0.33061928\n Similarity: 0.33393234\n text-embedding-3-small\n",
"title": "Embedding Model Outage: text-embedding-3-small-api-ev3 model name with all 0 values"
}