langchain.embeddings.edenai.EdenAiEmbeddings¶
class langchain.embeddings.edenai.EdenAiEmbeddings[source]¶
Bases: BaseModel, Embeddings
EdenAI embedding.
environment variable EDENAI_API_KEY set with your API key, or pass
it as a named parameter.
Create a new model by parsing and validating input data from keyword arguments.
Raises ValidationError if the input data cannot be parsed to form a valid model.
param edenai_api_key: Optional[str] = None¶
EdenAI API Token
param model: Optional[str] = None¶
model name for above provider (eg: ‘text-davinci-003’ for openai)
available models are shown on https://docs.edenai.co/ under ‘available providers’
param provider: str = 'openai'¶
embedding provider to use (eg: openai,google etc.)
async aembed_documents(texts: List[str]) → List[List[float]]¶
Asynchronous Embed search docs.
async aembed_query(text: str) → List[float]¶
Asynchronous Embed query text.
classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) → Model¶
Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data.
Default values are respected, but no other validation is performed.
Behaves as if Config.extra = ‘allow’ was set since it adds all passed values
copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) → Model¶
Duplicate a model, optionally choose which fields to include, exclude and change.
Parameters