Currently, the CLI tools are trained by the Language Model (LLM) to generate responses. However, there are some CLI tools that haven't been explicitly trained and don't have predefined responses. It would be beneficial to incorporate the RAG (Retrieve, Analyze, Generate) approach to enable LLM to generate responses for these CLI tools as well.
Why is this needed?
With the inclusion of RAG-based responses for CLI tools not trained by LLM, we can enhance the overall functionality and versatility of the system. Users will be able to obtain accurate and relevant responses even for CLI tools that were not explicitly trained, improving the user experience.
What would you like to be added?
Currently, the CLI tools are trained by the Language Model (LLM) to generate responses. However, there are some CLI tools that haven't been explicitly trained and don't have predefined responses. It would be beneficial to incorporate the RAG (Retrieve, Analyze, Generate) approach to enable LLM to generate responses for these CLI tools as well.
Why is this needed?
With the inclusion of RAG-based responses for CLI tools not trained by LLM, we can enhance the overall functionality and versatility of the system. Users will be able to obtain accurate and relevant responses even for CLI tools that were not explicitly trained, improving the user experience.