Search engine for NASA's space biology research. Ask questions in plain English and get answers with citations to real NASA publications.
Team of 6 • 1st Place — NASA Space Apps Challenge 2025


NASA has published decades of space biology research, but it's scattered across databases, PDFs, and institutional repositories. Scientists spend hours searching through papers instead of asking questions and getting answers. Our team entered NASA Space Apps 2025 to solve this.
Built the NestJS backend: chat module with conversation persistence, user auth with JWT, favorites system, and the RAG orchestration layer connecting to Vertex AI and the Google Cloud RAG corpus.
Developed the interactive knowledge graph with D3.js (force-directed layout, draggable nodes, hover highlighting), article favorites sidebar, and chat history integration on the React frontend.
Wrote the entire Python data pipeline that scraped and ingested NASA publications from multiple sources into the RAG corpus.
Built in a weekend by a team of 6. Won 1st place in the local round of NASA Space Apps Challenge 2025 and was selected as a Global Nominee. The project was evaluated on technical implementation, scientific accuracy, and potential impact on NASA's open science mission.