Pamela

In Retrieval-Augmented Generation (RAG) systems, the retrieval component retrieves relevant documents, and the generation model generates answers based on them. When answering multiple-choice questions, the RAG system might generate a response that doesn’t match the provided options exactly. To address this, optimizing the selection process involves using similarity measures (e.g., cosine similarity) between the generated answer and the options. This way, even if the response is more verbose or slightly different, it selects the closest matching option based on content similarity.