Create an interaction matrix of historical user questions and appliance instruction manuals. Use ALS to factorize the matrix and create embeddings. Calculate the embeddings of new queries and use them to find the best manual. Use an LLM to generate a response to the question based upon the manual retrieved.

Calculate averaged embeddings for each instruction manual, compare embeddings to user query to find the best manual. Pass the best manual with user query into an LLM with a large context window to generate a response to the employee.

Use an LLM to summarize all of the instruction manuals. Provide summaries of each manual and user query into an LLM with a large context window to generate a response to the user.