Building Data Infrastructure for AI Agents

🤖 AI agents are moving into production, but making them reliable takes the right infrastructure. Join us for an evening of talks and networking on the emerging stack powering enterprise AI agents. 🚀
🎤 Featured Speakers:
✨ Jaz Ku (PuppyGraph) will explore how agents are reshaping structured data retrieval in her talk "When Text-to-SQL Meets Graphs: Designing Data Infrastructure for Agents" 📊 — covering how PuppyGraph's zero-ETL graph layer gives agents ontology-enforced guardrails for reasoning over connected data. 🕸️
✨ Linghua will present "CocoIndex: Incremental Context Engine for Long-Horizon Agents" 🥥 — diving into how incremental context infrastructure can support agents tackling complex, multi-step workflows. 🔄

✨ VeloDB will present "One Engine for the Agentic Stack: Analytics, Context, and Observability in Apache Doris" 🚀 — showing how Apache Doris collapses the analytics warehouse, vector store, and trace database into a single engine, with native vector search proven at ByteDance scale and LiteFuse for agent observability. 🔭

Agenda
5:30-6:00 — Networking, drinks, and hors d'oeuvres
6:00-6:25 — Jaz Ku, PuppyGraph: When Text-to-SQL Meets Graphs: Designing Data Infrastructure for Agents
6:25-6:50 — Linghua Jin, CocoIndex: Incremental Context Engine for Long-Horizon Agents
6:50-7:15 — VeloDB: One Engine for the Agentic Stack: Analytics, Context, and Observability in Apache Doris
7:15-7:30 — Networking continues
See you there! 🎉 Snacks and drinks provided. 🍺