GraphRAG is an approach to augmenting Large Language Model use with information sourced from a Knowledge Graph. In many domains, data naturally form a graph. In such situations, GraphRAG can significantly improve feeding necessary information to an LLM.
However, graph data do not come naturally to people who cut their teeth on relational data and dashboards, and GraphRAG requires understanding of how graph data work, and how LLMs work. In 20 days - under the procurement threshold if you are in the Government - we can provide a working pilot utilising graph data and LLM to demonstrate GraphRAG capabilities.
Our GraphRAG pilot relies on conducting a 10-day B-CAID: Business Centric AI Design first.