Agentic AI Context Builders

AI agents are only as good as the context they reason from. This community is for architects, data engineers, developers, and AI practitioners who are serious about building the data foundation that makes agentic AI work in production — not just in demos.

We cover the technical depth most AI groups skip: data architecture for agents, contextual data layer design, knowledge graph construction, retrieval strategy, governance, and the multimodel data foundations that connect enterprise data to LLMs.

What to expect at every session:
🔧 Technical deep dives — architecture patterns, real implementations, and lessons from production deployments
🗺️ Data architecture talks — how to model, connect, and govern enterprise data for AI agents
💡 Live demos — working systems over slide decks
🤝 Peer exchange — connect with practitioners building real agentic systems

Who this is for:
Data architects, AI engineers, data engineers, heads of AI, and enterprise developers who want to go deeper than RAG and build AI systems that actually reason from connected, governed business context.

No hype. No vendor pitches. Just the technical knowledge you need to build agentic AI that works.

Hosted by Arango — the contextual data foundation for enterprise AI.