GraphRAG

RAG Is Good. GraphRAG + a Taxonomy-Driven Graph Wins

Accuracy isn’t a model problem, it’s a knowledge problem. The teams who win govern language and relationships, then let retrieval do surgical work.

Structured Data Will Make a Comeback in 2025

Will GraphRAG fix your GenAI accuracy problem?

The accuracy of LLM responses is crucial when implementing AI solutions for your business. GraphRAG solutions have proven to be effective at achieving critical accuracy rates.

Why RAG isn’t enough for GenAI apps

Retrieval Augmented Generation (RAG) is a popular, low-cost technique to boost GenAI response quality. But for many use cases, it still falls short.