Chain-of-Thought to Enhance Document Retrieval in Certified Medical Chatbots

We propose a Retrieval-Augmented Generation pipeline aimed at retrieving certified medical information. Inspired by the recently introduced Hypothetical Document Embeddings framework, we use the LLM to generate a document to query our certified repository. Although showing promising results in the first user evaluation, the proposed pipeline sometimes fails to retrieve the correct documents. We therefore propose a second Chain-of-thought-inspired pipeline to enhance the generation of the Hypothetical Document and, consequently, the retrieval of the certified documents.