Your summary is accurate! In this QA chatbot, LLMs function as interpreters and rely on pre-existing data or knowledge typically obtained from a corpus to generate responses, because we employ off-the-shelf LLMs and do not fine-tune them using our knowledge.

The critical aspect is to align user queries with relevant information present in the corpus. However, before constructing a search tree (ANN model) to identify the most pertinent context, we first embed our corpus. Therefore, the matching process is not based solely on word distance.