Hi all! I'm Marko, CTO at Memgraph, and the author of this post.
The post argues that the GraphRAG pipeline can be expressed as a single database query rather than a chain of application-layer steps. The idea is to keep components such as retrieval, expansion, ranking, and final context assembly within the database query plan.
I go through:
* what I mean by GraphRAG in practice;
* why "single-query" execution can reduce moving parts;
* why can that help with latency/cost by returning only the final payload;
* and how it can make tracing/debugging easier by returning the context plus the path used to assemble it.
The post also contrasts this with Python-orchestrated pipelines and touches on agentic pipeline selection (called Agentic GraphRAG). Happy to answer technical questions or discuss where this breaks down.
