langchain_community.embeddings.fake.FakeEmbeddings¶

class langchain_community.embeddings.fake.FakeEmbeddings[source]¶

Bases: Embeddings, BaseModel

Fake 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]

embed_documents(texts: List[str]) → List[List[float]][source]¶

Embed search docs.

Parameters

texts (List[str]) – List of text to embed.

Returns

List of embeddings.

Return type

List[List[float]]

embed_query(text: str) → List[float][source]¶

Embed query text.

Parameters

text (str) – Text to embed.

Returns

Embedding.

Return type

List[float]

Examples using FakeEmbeddings¶