Graphlit: The Context Layer That Actually Works скачать в хорошем качестве

Graphlit: The Context Layer That Actually Works

Graphlit founder Kirk Marples talks about: AI agents today are powerful, but they still fail at a foundational problem: context. Most systems rely on embeddings, RAG pipelines, or loosely defined “memory,” which break down as data changes, entities evolve, and facts become time-dependent. In this talk, Kirk Marple reframes the context problem from first principles. He explains why operational context — identity resolution, entity relationships, and temporal facts — must come before higher-level concepts like decision traces or reasoning chains. You’ll learn why treating facts as time-aware events is essential, how an event-driven “clock” enables reliable historical queries, and why the common debates around ontologies miss the real issues that cause AI systems to fail in production. This session is designed for engineers and product leaders building real AI systems. Attendees will leave with a practical mental model for designing a context layer that scales, stays correct over time, and actually works outside of demos.