1.6 Million Files, Grounded Answers: Building RAG at Scale Without Losing Recall – Part 1
Why We Built This — Specs, Scale and the Stakes 1.6 million HTML files. Sixty years of Indian language newspaper stories. That was the archive
AI
ASTRO LLM: AI-Powered Citizen Scientist Assistant
ASTRO LLM is an AI-powered assistant built by Techtinium for a space science research organization, designed to support citizen scientists with instant, accurate answers to astronomy and Unistellar telescope queries. Powered by a RAG-based system, it delivers level-specific responses, from beginner-friendly explanations to advanced, equation-based insights, while reducing scientist workload and enabling scalable participation in space research.
Data Pipeline Migration From AWS to GCP
Migrated SETI Institute’s data pipelines from AWS to GCP, enhancing stability, performance, and code quality while streamlining research operations.
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