About TigerGraphTigerGraph is a distributed, scalable graph database platform used by enterprises to solve problems where relationships matter more than rows — fraud detection, supply chain, recommendations, customer 360, and now, the frontier: GraphRAG.
Most databases store things. TigerGraph stores how things connect — and makes traversing those connections fast enough for real-time applications. Multi-hop queries that would time out in SQL return in milliseconds.
The product has been battle-tested across banking, telecom, healthcare, and e-commerce — at scale, in production, against adversarial workloads.
Vertices and edges are first-class citizens — no shoehorning relationships into join tables.
Traverse 5+ hops in milliseconds. The pattern that makes GraphRAG possible in production.
Distributed architecture handles billions of edges. The same engine powers demos and enterprise workloads.
Every time an LLM answers a complex question, it burns through thousands of tokens trying to reason its way to the answer. At enterprise scale — millions of queries a day — that cost compounds brutally. Latency adds up. Margins shrink.
Graphs offer a smarter path. By organizing information into relationships the model can actually follow, graphs help LLMs focus on what matters — cutting tokens, speeding up responses, and saving cost, all without losing accuracy.
This hackathon is your chance to prove that with real numbers.
Prove, with real numbers, exactly how much better inference gets when graphs enter the picture. That's the whole hackathon. Ship the benchmark. Settle the question.