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()