Open-source graph engineering pipeline shows how agents can traverse real data today
iamrobotbear · x · 2026-07-27
- A reposted article argues that the full graph engineering pipeline can now be built with real open-source code, without needing a PhD.
- It breaks the stack into representation, ontology, entity extraction, relations, events, quality gates, fusion, embeddings, and memory that an agent can actually traverse.
- The examples cited, such as Strwythura and llm2kg, cover end-to-end ontology pipelines, entity resolution, GraphRAG with embeddings, Neo4j storage, and a ReAct agent that queries the graph directly.
- The core pitch: you can run working graph-based agent systems on your own data today.
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