![Cover Image for How to Use a Knowledge Graph [Ft. Yohei Nakajima’s VCPedia Project]](https://images.lumacdn.com/cdn-cgi/image/format=auto,fit=cover,dpr=2,background=white,quality=75,width=400,height=400/event-covers/38/42160937-a5e9-4222-a4c2-cbe549b86fc3.jpg)
![Cover Image for How to Use a Knowledge Graph [Ft. Yohei Nakajima’s VCPedia Project]](https://images.lumacdn.com/cdn-cgi/image/format=auto,fit=cover,dpr=2,background=white,quality=75,width=400,height=400/event-covers/38/42160937-a5e9-4222-a4c2-cbe549b86fc3.jpg)
How to Use a Knowledge Graph [Ft. Yohei Nakajima’s VCPedia Project]
⏰ PDT: 10:00 AM | EDT: 1:00 PM | CEST: 7:00 PM
Learn how a Crunchbase-style platform was built, spark ideas for your project, and integrate FalkorDB easily.
Workshop overview
In this workshop we’ll show 2 live builds: Fractal KG, a UI for building knowledge graphs from a natural language prompt, and VCPedia, a real-time startup intelligence Crunchbase-like platform that is graph powered by hourly Twitter pulls, LLM-based funding-round extraction, and automated newsletters.
Who should and attend & why
We encourage developers and architects looking for a reference implementation to assess graph-based system design to attend. Additional use-cases covered:
Looking to combine embeddings, relationship extraction, and real-time workflows.
Testing prototyping with FalkorDB to validate graph-powered features
Learning outcomes
Get information: Map out Fractal KG’s architecture: ingestion, embedding, dedupe, hierarchy, and newsletters.
Get inspired: Break down VCPedia’s architecture.
Get started: Integrate FalkorDB for graph queries, multi-tenant support, and setup.