Type
The type of model to use for your passage extractor LLM or RAG system.
For a RAG system, you can use the following options:
- GenerativeLua. Use a Lua script that performs generative question answering. For this type, you must set Script to the name and path for the script to use.
-
GenerativePython. Use a Python script that performs generative question answering. For this type, you must set Script to the name and path for the script to use.
For a passage extractor LLM system, you can use GenerativeLua and GenerativePython, or one of the following options:
-
ExtractiveQuestionAnsweringLLM. Use an extractive question answering LLM from Hugging Face. For this type, you must set ModelName to the model to use.
-
GenerativeLLM. Use an generative LLM from Hugging Face. For this type, you must set ModelName to set the model to use.
-
ExtractiveQuestionAnsweringLua. Use a Lua script that performs extractive question answering. For this type, you must set Script to the name and path for the script to use.
Type: | String |
Default: | |
Required: | Yes |
Configuration Section: | MyLLMModule |
Example: | Type=GenerativeLLM
|
See Also: | ModelName
Script |