Skip to main content

​
EmbeddingResult

Defined in the result module.
AI Agent Result from embedding generation. Attributes: embeddings: List of embedding vectors (each is a list of floats) model: The model used for embedding (optional) usage: Token usage information (optional) metadata: Additional metadata (optional)

​
Properties

​
embeddings
List
No description available.
​
model
Optional
No description available.
​
usage
Optional
No description available.
​
metadata
Dict
No description available.

​
Usage

>>> result = EmbeddingResult(
    ...     embeddings=[[0.1, 0.2, 0.3]],
    ...     model="text-embedding-3-small",
    ...     usage={"prompt_tokens": 5, "total_tokens": 5}
    ... )
    >>> print(len(result.embeddings[0]))
    3

​
Source

View on GitHub

praisonaiagents/embedding/result.py at line 13