table_name (str) – Name of the table to create.
log_and_data_dir (Optional[str]) – Directory of logging and persistence.
client (Optional[awadb.Client]) – AwaDB client
Returns
AwaDB vectorstore.
Return type
AwaDB
get(ids: Optional[List[str]] = None, text_in_page_content: Optional[str] = None, meta_filter: Optional[dict] = None, not_include_fields: Optional[Set[str]] = None, limit: Optional[int] = None, **kwargs: Any) → Dict[str, Document][source]¶
Return docs according ids.
Parameters
ids – The ids of the embedding vectors.
text_in_page_content – Filter by the text in page_content of Document.
meta_filter – Filter by any metadata of the document.
not_include_fields – Not pack the specified fields of each document.
limit – The number of documents to return. Defaults to 5. Optional.
Returns
Documents which satisfy the input conditions.
get_current_table(**kwargs: Any) → str[source]¶
Get the current table.
list_tables(**kwargs: Any) → List[str][source]¶
List all the tables created by the client.
load_local(table_name: str, **kwargs: Any) → bool[source]¶
Load the local specified table.
Parameters
table_name – Table name
kwargs – Any possible extend parameters in the future.
Returns
Success or failure of loading the local specified table
max_marginal_relevance_search(query: str, k: int = 4, fetch_k: int = 20, lambda_mult: float = 0.5, text_in_page_content: Optional[str] = None, meta_filter: Optional[dict] = None, **kwargs: Any) → List[Document][source]¶
Return docs selected using the maximal marginal relevance.