Vearch(
self,
embedding_function: Embeddings,
path_or_url: Optional[str] = None,
table_nameReturn Vearch VectorStore
Return Vearch VectorStore
[<griffe._internal.docstrings.models.DocstringReturn object at 0x7ff584668990>]
Load the local specified table of standalone vearch. Returns: Success or failure of loading the local specified table
Return docs most similar to query.
The most k similar documents and scores of the specified query. Args: embeddings: embedding vector of the query. k: The k most similar documents to the text query. min_score: the score of similar documents to the text query Returns: The k most similar documents to the specified text query. 0 is dissimilar, 1 is the most similar.
The most k similar documents and scores of the specified query. Args: embeddings: embedding vector of the query. k: The k most similar documents to the text query. min_score: the score of similar documents to the text query Returns: The k most similar documents to the specified text query. 0 is dissimilar, 1 is the most similar.
Delete the documents which have the specified ids.
Return docs according ids.