FakeEmbeddings#
- class langchain_community.embeddings.fake.FakeEmbeddings[source]#
Bases:
Embeddings,BaseModelFake embedding model.
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 size: int [Required]#
The size of the embedding vector.
- async aembed_documents(texts: List[str]) List[List[float]]#
Asynchronous Embed search docs.
- Parameters:
texts (List[str]) – List of text to embed.
- Returns:
List of embeddings.
- Return type:
List[List[float]]
- async aembed_query(text: str) List[float]#
Asynchronous Embed query text.
- Parameters:
text (str) – Text to embed.
- Returns:
Embedding.
- Return type:
List[float]
Examples using FakeEmbeddings