[piizei]

Looks like the test-setup confuses knowledge graphs with graph databases. The code just creates a neo4j database from a document, not a knowledge graph (basically uses neo4j as vector database). A knowledge graph would be created by a LLM as a preprocessing step (and queried similary by an LLM). This is a different approach than was tested, an approach that trades preprocessing time and domain knowledge for accuracy. Reference: https://python.langchain.com/v0.1/docs/use_cases/graph/const...

[rcarmo]

Yeah, I think the dataset is flawed. GraphRAG appears to be aimed at navigating the Microsoft 365 document and people graph that you get in an organization setting, not doing a homogenous search.