RAG Chatbots: Enhancing User and Internal Support Through Dual Knowledge Systems
Description
This work presents two complementary RAG-based chatbot systems developed for NASA's Community Coordinated Modeling Center. These tools represent practical applications of retrieval-augmented generation to enhance both external user support and internal team productivity.
Detailed example
The public-facing chatbot provides quick answers about CCMC tools, services, and general heliophysics information, optimized for speed and accuracy when addressing common user queries.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
By implementing efficient document processing pipelines and strategic context assembly, both systems demonstrate significant response time improvements while maintaining information boundaries between public and private knowledge domains.
Controls / human review
ATO: Not reported; PIA: Not published