Chatbot Feasibility Study | Natural Hazards Research Australia

Chatbot Feasibility Study

Photo: Google DeepMind, Unsplash
Research theme

Evidence-informed policy, strategy and foresight

Project type

Commissioned research

Project status

In planning

This project aims to conduct a feasibility study for integrating a Large Language Model (LLM) powered chatbot to enhance access to research project-related information across Natural Hazards Research Australia.

Project details

As more data becomes available, developing easy-to-use tools for searching data offers a significant opportunity to improve accessibility and engagement. Artificial intelligence (AI) chatbots that use Retrieval-Augmented Generation (RAG) can help users quickly ask questions about data and engage with research results in a simple, conversational way. This technology can streamline workflow, reduce the time spent on finding data and improve decision-making by giving relevant answers. This will lead to greater engagement with the Centre's collection of research outputs.

Given the opportunities, risks and constraints discussed in the RFP, the Centre would like to evaluate the feasibility of RAG implementation within our information and technology systems. The main objectives are to:

  • provide a background of RAG as a technology
  • outline any non-technological issues or constraints
  • identify potential use cases
  • develop at least three options for implementation
  • compare these options using SWOT analysis and cost/time estimates.