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embedding

Function
This function is defined in the llm module.
Get embedding vector for text. .. deprecated:: Use from praisonai import embed or from praisonai.capabilities import embed instead. This function returns raw vectors; the new embed() returns EmbeddingResult with metadata.

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Signature

def embedding(text: Any, model: Any) -> Any

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Parameters

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text
Any
required
Text string or list of strings to embed
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model
Any
default:"'text-embedding-3-small'"
Embedding model name (default: text-embedding-3-small) **kwargs: Additional arguments passed to litellm.embedding()

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Returns

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Returns
Any
List[float] for single text, or List[List[float]] for multiple texts

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Usage

from praisonai.llm import embedding

    # Single text
    emb = embedding("Hello world")

    # Multiple texts
    embs = embedding(["Hello", "World"])

    # Different model
    emb = embedding("Hello", model="text-embedding-3-large")

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Uses

  • warnings.warn
  • ImportError
  • litellm.embedding

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Notes

Requires litellm. Install with: pip install praisonai[llm]

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Used By

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Source

View on GitHub

praisonai/llm/__init__.py at line 70