GenAI Loft London - Day 6: Code. Scale. Disrupt

Register: https://aws.amazon.com/startups/events/genai-loft-london-day-6-code-scale-disrupt

#### The builder’s day — fast, raw, and unapologetically hands-on.

Across the day, you’ll hear the unfiltered story of how one startup went from zero to $100M ARR in just eight months, uncover the engineering principles every “vibe coder” needs to know to keep their builds stable and scalable, and watch new tools collapse development cycles from months to hours. You’ll step into a live showcase where AI literally brings ideas into the physical world through 3D printing — and dive into the security frontlines where AI agents are already rewriting the rules of defense.
It’s a program designed to give you both the inspiration and the tactical know-how to move faster, break things smarter, and ship products that don’t just keep up with the market — they set the pace. For founders, it’s a chance to see how the next generation of companies will scale. For builders, it’s a chance to get hands-on with the tools, frameworks, and lessons shaping GenAI’s most disruptive products.

Building your own Knowledge Graph
Irina Loghin | Developer Relations, Neo4j
In this talk, you will learn about GraphRAG, a technique that combines graph databases with generative AI to improve the quality of LLM-generated content. We will explore the terms Retrieval-Augmented Generation (RAG) and Context Engineering, and how GraphRAG can be used in both scenarios. The topic is aimed at Generative AI practitioners who are familiar with vector-based Retrieval-Augmented Generation (RAG) and would like to understand how the approach of GraphRAG can improve the quality of LLM-generated content.