Deploying AI Literature Agents at Scale

Learn how to deploy AI literature agents at scale in this 12-minute conference talk from Conf42 MLOps 2025. Explore the complete MLOps architecture for building and scaling AI-powered literature analysis systems, starting with problem identification and moving through solution design. Discover how to implement biomedical NLP pipelines for processing scientific literature, including model training and deployment strategies. Master the techniques for scaling vector databases to handle large volumes of research data efficiently. Understand RAG (Retrieval-Augmented Generation) architecture implementation and performance optimization, along with comprehensive monitoring and observability practices for production systems. Examine continuous experimentation methodologies and infrastructure scaling approaches to maintain system performance as demand grows. Gain practical insights into the key challenges and solutions for deploying AI agents that can process and analyze scientific literature at enterprise scale.