The author stopped using traditional REST API calls for AI agents due to their slowness, taking around 51 seconds per data request. A new approach was discovered, reducing the time to 12 seconds by optimizing data retrieval for agents.
This content addresses the inefficiencies and costs of using web scraping for AI shopping agents, citing issues like broken selectors and stale data. It proposes migrating to stable API contracts for product data retrieval, allowing engineers to focus on the agent's core reasoning capabilities.
This guide introduces Graph-Based Enterprise Search, an innovative approach gaining traction for transforming data retrieval and user interaction in organizations. It leverages graph data structures to enhance semantic search capabilities, improving search accuracy and relevance by connecting disparate data points based on relationships.