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()