I built a self-hosted RAG system for Journalism — What Production Retrieval Taught Me
A developer built Atlas, a self-hosted Retrieval-Augmented Generation (RAG) system tailored for journalism, utilizing local models and PostgreSQL with pgvector. The system ingests RSS feeds, embeds content, and provides features like grounded Q&A, claim-level fact-checking, and story brief generation. Key lessons learned include the necessity of hybrid search combining vector and full-text search for news corpora, and the significant performance gains from batch embedding over individual article embedding. AI
IMPACT Highlights the practical challenges and solutions in deploying RAG for specialized domains like journalism, emphasizing hybrid search and efficient embedding strategies.