From Demo to Production: Deploying AI Responsibly in a Complex World

Register: https://www.meetup.com/vienna-data-science-group-meetup/events/315639920/

Legit Check for AI - Grounding AI with Knowledge Graphs for Transparency and Trust at the Core
AI systems are only as trustworthy as the data they reason over. But when that data is highly interconnected — products, brands, trends, relationships — flat retrieval architectures like RAG fall short: they can't traverse context, can't explain their paths, and can't make their reasoning visible.
This talk shows how Knowledge Graphs change that equation.
Using a real-world dataset scraped from sources like Sneaker News, WWD, and StockX, we demonstrate how to build a Knowledge Graph from unstructured documents and use it to ground Large Language Models, making their outputs not just more accurate, but genuinely explainable.
We'll walk through:

• Building the graph — extracting structured knowledge from unstructured web sources and modeling it as a connected graph
• Grounding LLMs — how Knowledge Graph context replaces hallucination-prone retrieval and gives the model structured facts to reason over
• Visualizing trust — how graph-based visualizations let users see why the AI answered the way it did, not just what it answered