ragas_experimental

Embeddings

ragas_embedding

 ragas_embedding (provider:str, model:str, client:Any)

*Factory function to create an embedding instance based on the provider.

Args: provider (str): The name of the embedding provider (e.g., “openai”). model (str): The model name to use for embeddings. **kwargs: Additional arguments for the provider’s client.

Returns: BaseEmbedding: An instance of the specified embedding provider.*

source

OpenAIEmbeddings

 OpenAIEmbeddings (client:Any, model:str)

Helper class that provides a standard way to create an ABC using inheritance.

source

BaseEmbedding

 BaseEmbedding ()

Helper class that provides a standard way to create an ABC using inheritance.

Example Usage

## change to this design
from openai import OpenAI
embedding_model = ragas_embedding(provider="openai", model="text-embedding-3-small", client=OpenAI())
embedding_model.embed_text("Hello, world!")

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