Knowledge Graphs + Multi-Agents for Large Codebases

“As foundation models become increasingly commoditized, competitive advantage will come from how well an organization engineers context.”
— Jared Bowns, Forbes Technology Council
He’s right.

### The Challenge

In a typical enterprise, the tech landscape looks like a digital maze:

• Hundreds (sometimes thousands) of legacy systems in outdated languages
• A jungle of microservices spread across countless repositories
• Documentation scattered across SaaS tools
• Complex identity setups and cross-cutting business processes

Meanwhile, everyone’s already “using AI” — but in silos:
🧑‍💻 Developers rely on Copilot, Cursor, or Claude.
📋 Product teams live in Atlassian.
💬 Everyone chats with ChatGPT.
Yet the toughest questions remain slow — or nearly impossible — to answer:

• How does the payment flow really work across seven repositories?
• Who produces and consumes what in our event-driven architecture?
• Where is business logic duplicated across systems?

### The Riverty Approach

At Riverty, we’re changing that.
We’ve parsed ~300 of our 1,500 repositories into a knowledge graph that gives LLMs the context they need to actually understand our systems.
On top of it, we’re building smart agents that use this graph to:

• Trace dependencies across services
• Answer architecture questions in seconds
• Accelerate safe, reliable change

The result? LLMs that are faster, cheaper, and smarter — because they finally know the context.

Join our community event with the KI Park and let Daniella & Sujay walk you through how we built the Riverty Knowledge Graph (with a live demo), and Claudia shows multi-agents on top of the graph for searching large codebases. We’ll wrap with a Q&A and—yes—pizza.

Who should come: engineering leaders, platform folks, data/ML engineers, and PMs who want the hype filtered into workable patterns. No fluff, demo-first, bring your questions.

Agenda

• 18:00 Doors Open
• 18.30 Welcome
• 18:40 The Riverty Knowledge Graph (why we built it, use cases, and live demo, Q&A)
• 19:10 Multi-Agents on top of the graph (how we built them and what for, Q&A)
• 19:45 Pizza & Drinks

Hope to see you there!