Speaker
Description
A2rchi (AI Augmented Research Chat Intelligence) is an open-source, end-to-end framework for building AI agents to automate research and operational workflows. Various groups have already applied the system to their use case; the most advanced is the Computing Operations (CompOps) team at the Compact Muon Solenoid (CMS) experiment at CERN. CompOps has a private, constantly evolving, and scattered knowledge base, with scarce personnel on short term contracts. A2rchi puts together state-of-the-art, open-source tools like LangChain, knowledge graphs, and Model Context Protocol, and combines documentation, code, tickets, and live diagnostics to accurately retrieve relevant information, assisting operators in daily tasks, improving operator efficiency, and lessening the load on experts. Further work is being undertaken to develop fully autonomous agents to perform non-trivial operations, which is reliant on highly accurate retrieval and expert knowledge. Other groups at CMS deploying A2rchi for their use case include the Data Quality Monitoring (DQM) team and a group focusing on retrieval of the vast analysis code and documentation across the CMS landscape.