Teradata Package for LangChain Function Reference - status - Teradata® Package for LangChain - Look here for syntax, methods and examples for the functions included in the Teradata langchain-teradata package.

Teradata® Package for LangChain Function Reference

Deployment
VantageCloud
Edition
Enterprise
Product
Teradata® Package for LangChain
Release Number
20.00.00.01
Published
December 2025
ft:locale
en-US
ft:lastEdition
2025-12-19
dita:id
Langchain-Teradata_FxRef_Lake
Product Category
Teradata Vantage
libs.teradata.langchain_teradata.TeradataVectorStore.status = status(self)
DESCRIPTION:
    Checks the status of the operations while creating, updating or destroying a vector store.
 
PARAMETERS:
    None.
 
RETURNS:
    Pandas DataFrame containing the status of vector store operations.
 
RAISES:
    None.
 
EXAMPLES:
   # Create an instance of the VectorStore class.
   >>> from langchain_teradata import TeradataVectorStore
   >>> vs = TeradataVectorStore(name="vs")
   # Example 1: Check the status of create operation.
 
   # Create VectorStore.
   # Note this step is not needed if vector store already exists.
   >>> vs.add_datasets(data="amazon_reviews_25",
                       key_columns=['rev_id', 'aid'],
                       data_columns=['rev_text'],
                       vector_column='VectorIndex',
                       embedding ="amazon.titan-embed-text-v1")
 
   # Check status.
   >>> vs.status()