Teradata Package for LangChain Function Reference - get_model_info - 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.get_model_info = get_model_info(self)
DESCRIPTION:
    Get the output table(s) depending on the search algorithm.
        * hnsw_model: Output table which contains centroids information.
          Underlying table name which contains these details is 'vectorstore_<vs_name>_hnsw_model'.
          Note:
            Applicable only if search_algorithm is "HNSW".
        * centroids_table: Output table which contains centroids information.
          Underlying table name which contains these details is 'vectorstore_<vs_name>_centroids'.
          Note:
            Applicable only if search_algorithm is "KMEANS".
        * kmeans_model: Output table which contains kmeans model information.
          Underlying table name which contains these details is 'vectorstore_<vs_name>_kmeans_model'.
          Note:
            Applicable only if search_algorithm is "KMEANS".
 
PARAMETERS:
    None.
 
RETURNS:
    dict or Teradataml DataFrame.
 
RAISES:
    None.
 
EXAMPLES:
    >>> vs.get_model_info()