BaseSparseEmbedding

class langchain_milvus.utils.sparse.BaseSparseEmbedding

Interface for Sparse embedding models.

You can inherit from it and implement your custom sparse embedding model.

Methods

__init__()
embed_documents(texts)	Embed search docs.
embed_query(query)	Embed query text.

__init__()

abstract embed_documents(texts: List[str]) → List[Dict[int, float]]

Embed search docs.

Parameters:

texts (List[str]) –

Return type:

List[Dict[int, float]]

abstract embed_query(query: str) → Dict[int, float]

Embed query text.

Parameters:

query (str) –

Return type:

Dict[int, float]