Python uses Embeddings
Embeddings API Guide
Overview
New Model Releases
Key Use Cases
Basic Usage
Retrieve Embedding Vectors
Response Format
{
"object": "list",
"data": [
{
"object": "embedding",
"index": 0,
"embedding": [
-0.006929283495992422,
-0.005336422007530928,
// ... more values
]
}
],
"model": "text-embedding-3-small",
"usage": {
"prompt_tokens": 5,
"total_tokens": 5
}
}
Model Comparison
Model | Pages per Dollar | MTEB Performance | Max Input Tokens |
---|---|---|---|
text-embedding-3-small | 62,500 | 62.3% | 8191 |
text-embedding-3-large | 9,615 | 64.6% | 8191 |
text-embedding-ada-002 | 12,500 | 61.0% | 8191 |
Practical Applications
Process Review Data
Technical Details
Dimensions
Dimensions
parameter.