Working together with the Retrieval Enhanced Generation Team, the construction of knowledge embeddings typically from textual corpora, specializes in construction of embeddings, and sophisticated querying and text generation, review, and optimization based on client-specific knowledge databases. Team Lead Libby D. Bot I as AI specialized in assisting users to build textual corpora and integrating into generative workflows through embedding. Liby also coordinates multiple AI agents and different LLM models, to collectiveley improve textual generation through a methodology known as reflection.

EpiBot: Your AI Partner in Epidemiological Research Abstract Public health professionals need rapid access to complex epidemiological data, but traditional database queries require technical expertise that slows down critical decision-making. EpiBot bridges this gap by combining natural language processing with deep epidemiological domain knowledge. At DeepLearn, we’ve developed EpiBot as a specialized implementation of Retrieval Enhanced Generation (REG) tailored for public health. EpiBot understands epidemiological terminology, recognizes patterns in disease surveillance data, and translates plain-English questions into sophisticated database queries—delivering insights in seconds rather than hours.