  Neutron scattering experiments have played vital roles in exploring materials
properties in the past decades. While user interfaces have been improved over
time, neutron scattering experiments still require specific knowledge or
training by an expert due to the complexity of such advanced instrumentation
and the limited number of experiments each person may perform each year. This
paper introduces an innovative chatbot application that leverages Large
Language Models(LLM) and Retrieval-Augmented Generation (RAG) technologies to
significantly enhance the user experience at the EQ-SANS, a small-angle neutron
scattering instrument at the Spallation Neutron Source of Oak Ridge National
Laboratory. Through a user-centric design approach, the EQ-SANS Assisting
Chatbot (ESAC) serves as an interactive reference for users, thereby
facilitating the use of the instrument by visiting scientists. By bridging the
gap between the users of EQ-SANS and the control systems required to perform
their experiments, the ESAC sets a new standard for interactive learning and
support for the scientific community using large-scale scientific facilities.
