TD_SYSFNLIB.AI_AskLLM(
ON question AS InputTable partition by key
ON context_data AS ContextTable partition by key
USING
TextColumn('text_data')
{ Azure_CSP_LLM_arguments | AWS_Bedrock_CSP_LLM_arguments | Google_Gemini_LLM_arguments | NVIDIA_NIM_Arguments | Lite_LLM_Arguments | AUTHORIZATION([DatabaseName]AuthorizationObjectName) }
ContextColumn('text_data')
Prompt('Provide an answer to the question using data as information relevant to the question. \nQuestion: #QUESTION# \n Data: #DATA#')
DATAPOSITION('#DATA#')
QUESTIONPOSITION('#QUESTION#')
[ isDebug('true') ]
[ Accumulate('[0:]') ]
[ShowNumTokens('true,false,yes,no,0,1,t,f')]
[RefreshCredentialTimeSeconds('0')]
)
TD_SYSFNLIB.AI_AskLLM(
ON question AS InputTable partition by key
ON context_data AS ContextTable partition by key
USING
TextColumn('text_data')
{ Azure_CSP_LLM_arguments | AWS_Bedrock_CSP_LLM_arguments | Google_Gemini_LLM_arguments | NVIDIA_NIM_Arguments | AUTHORIZATION([DatabaseName]AuthorizationObjectName) }
ContextColumn('text_data')
Prompt('Provide an answer to the question using data as information relevant to the question. \nQuestion: #QUESTION# \n Data: #DATA#')
DATAPOSITION('#DATA#')
QUESTIONPOSITION('#QUESTION#')
[ isDebug('true') ]
[ Accumulate('[0:]') ]
)