Agentic reasoning: The future of Work AI

This post introduces Glean's new agentic reasoning architecture, an evolution from its enterprise search and RAG capabilities. It details the journey from search to Work AI, emphasizing the development of agents that can plan, execute, evaluate, and take actions to achieve complex goals. The architecture involves a decision point between using direct search or agentic reasoning based on query complexity. Agents utilize tools like search, reasoning, and data analysis, and incorporate a 'reflect' step for self-assessment and optimization. The post highlights the potential of agentic reasoning to handle tasks like resolving support tickets and debugging production issues, with early research showing a 24% increase in response and action relevance.