1st Place & Global Nominee – 2025 NASA Space Apps Challenge
Developed Raptor RAG, an intelligent AI ingestion and retrieval system tailored to NASA's Space Biology datasets.
Project Requirements
During the 2025 NASA Space Apps Challenge, we secured 1st Place and a Global Nomination for creating Raptor RAG. The platform addresses critical data navigation challenges within space biology, offering high precision, context-aware information retrieval.
The Challenge
NASA's space biology data is vast, complex, and spread across numerous formats. The central challenge was creating a reliable engine capable of accurately grounding responses in specific scientific literature without hallucinating.
The Approach & Solution
We engineered Raptor RAG, utilizing advanced retrieval-augmented generation (RAG) techniques to comprehensively parse, ingest, index, and semantically search NASA's structured and unstructured space biology documents.
The Results
95%+
upHigh precision context retrieval.
Enterprise
upRobust data pipeline capabilities.
Nominee
upGlobal Nominee out of thousands of teams.
shoutout to Noah Hattout for designing the skills animation cube.