langchain_community.embeddings.awa.AwaEmbeddingsΒΆ

class langchain_community.embeddings.awa.AwaEmbeddings[source]ΒΆ

Bases: BaseModel, Embeddings

Embedding documents and queries with Awa DB.

clientΒΆ

The AwaEmbedding client.

modelΒΆ

The name of the model used for embedding. Default is β€œall-mpnet-base-v2”.

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 model: str = 'all-mpnet-base-v2'ΒΆ
async aembed_documents(texts: List[str]) List[List[float]]ΒΆ

Asynchronous Embed search docs.

async aembed_query(text: str) List[float]ΒΆ

Asynchronous Embed query text.

classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) ModelΒΆ

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 = β€˜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) ModelΒΆ

Duplicate a model, optionally choose which fields to include, exclude and change.

Parameters
  • include – fields to include in new model

  • exclude – fields to exclude from new model, as with values this takes precedence over include

  • update – values to change/add in the new model. Note: the data is not validated before creating the new model: you should trust this data

  • deep – set to True to make a deep copy of the model

Returns

new model instance

dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) DictStrAnyΒΆ

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

embed_documents(texts: List[str]) List[List[float]][source]ΒΆ

Embed a list of documents using AwaEmbedding.

Parameters

texts – The list of texts need to be embedded

Returns

List of embeddings, one for each text.

embed_query(text: str) List[float][source]ΒΆ

Compute query embeddings using AwaEmbedding.

Parameters

text – The text to embed.

Returns

Embeddings for the text.

classmethod from_orm(obj: Any) ModelΒΆ
json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Optional[Callable[[Any], Any]] = None, models_as_dict: bool = True, **dumps_kwargs: Any) unicodeΒΆ

Generate a JSON representation of the model, include and exclude arguments as per dict().

encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps().

classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) ModelΒΆ
classmethod parse_obj(obj: Any) ModelΒΆ
classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) ModelΒΆ
classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') DictStrAnyΒΆ
classmethod schema_json(*, by_alias: bool = True, ref_template: unicode = '#/definitions/{model}', **dumps_kwargs: Any) unicodeΒΆ
set_model(model_name: str) None[source]ΒΆ

Set the model used for embedding. The default model used is all-mpnet-base-v2

Parameters

model_name – A string which represents the name of model.

classmethod update_forward_refs(**localns: Any) NoneΒΆ

Try to update ForwardRefs on fields based on this Model, globalns and localns.

classmethod validate(value: Any) ModelΒΆ

Examples using AwaEmbeddingsΒΆ