Learning to Retrieve from Agent Trajectories

1. 1Design and train IR systems for agent users instead of human users
2. 2Utilize large language model powered search agents to retrieve information
3. 3Embed retrieval as a core component within multi-turn reasoning and action loops
4. 4Evaluate and refine the system using agent trajectory data

AI engineers and researchers on a team benefit from this approach as it enables more efficient retrieval and multi-turn reasoning, while product managers can leverage it to improve search functionality

💡 Traditional IR systems need to be adapted for agent users to improve retrieval efficiency and effectiveness

🤖 Agents are changing the game for info retrieval! #LLMs #IR