HPC RAG Agent Chatbot for SLU HPC Systems

Overview

Developing an AI-powered chatbot using Retrieval-Augmented Generation (RAG) to assist researchers in interacting with SLU’s HPC resources.

Information

• Source Code: -https://github.com/oss-slu/hpc_rag_agent_chatbot

• Client: SLU HPC Systems Team

• Current Tech Lead: Vani Walvekar

• Developers:

• Start Date: Aug, 2025

• Technologies Used:

  • Retrieval-Augmented Generation (RAG)
  • AI / Natural Language Processing
  • HPC schedulers integration
  • Real-time system data

• Type: Chatbot / AI Assistant

• License: MIT (https://opensource.org/license/mit)

Technical Information

Development Priorities

• RAG Integration: Integrate Retrieval-Augmented Generation techniques into an existing open-source framework to improve chatbot knowledge retrieval.
• HPC Systems Connectivity: Connect with SLU HPC documentation, schedulers, and real-time system monitoring.
• User Interaction: Provide researchers an intuitive interface to query HPC resources efficiently.

Get Involved

If you would like to contribute to this project, please visit our GitHub page to create your own issues or pull requests.