langchain.embeddings.fake.FakeEmbeddings

class langchain.embeddings.fake.FakeEmbeddings(*, size: int)

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.

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

Asynchronous Embed query text.

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

Embed search docs.

embed_query(text: str) → List[float]

Embed query text.

Examples using FakeEmbeddings

• Fake Embeddings

• DocArray Retriever

• Vectara

• Tair