Embeddings
Embeddings
Generate embeddings for text input
Generate vector embeddings from input text.
This endpoint converts text into high-dimensional vector representations that capture semantic meaning. These embeddings preserve semantic relationships between texts and can be used for various machine learning tasks.
Notes:
- Empty strings or arrays are not accepted
- Results include index numbers for mapping back to original inputs
- All embeddings are generated as query vectors. If the embeddings have two modes (e.g., query and document), this endpoint only returns query vectors.
post/v1/embeddings
Request body
Example request
{
"input": "The quick brown fox jumps over the lazy dog"
}Response
Successfully generated embeddings
Example response
{
"data": [
{
"embedding": [
0.123,
-0.456,
0.789,
0.234,
-0.567,
0.891
],
"index": 0,
"object": "embedding"
}
],
"model": "private-gpt",
"object": "list"
}