GraphQL: Ideal API Access Layer for AI and LLM Applications

Revisit one of our sessions from API Summit 2024!

Gartner predicts that by 2026, more than 30% of the increase in demand for APIs will come from artificial intelligence and tools using large language models. API sprawl is a hazardous form of technical debt. It has hard costs from hosting and scaling a fleet of APIs, real security risks, and an increased operational burden from the sheer number of APIs that platform engineering teams need to manage. With GraphQL, any client, even an LLM, can request exactly the data they need without over or under-fetching. And with federated GraphQL, the data can come from any underlying API. Learn popular use cases for implementing the graph in an AI-driven experience, how organizations can safely adopt AI on a spectrum from low to high trust, and why GraphQL is an ideal API access layer for AI.