REDDIT · REDDIT// 19d agoBENCHMARK RESULT

ctxgraph tops Graphiti on relation extraction

ctxgraph is a local-first Rust context graph engine that uses GLiNER v2.1 via ONNX Runtime to extract entities and relations from engineering decision traces. In its 50-episode benchmark, the project reports better relation F1 and far lower latency than a Graphiti-style GPT-4o pipeline, while staying CPU-only and API-free.

// ANALYSIS

Narrow, schema-aware extraction looks better than prompt-driven graph construction when the ontology is fixed and label stability matters more than open-ended generation.

–The reported 0.520 vs 0.315 F1 gap and 330ms vs 12.7s latency gap make this a practical systems win, not just a cost tweak.
–Multiple GPT calls per episode compound latency and cost, so local inference pays off fast in agent memory loops.
–Stable labels and direction validation matter more than raw recall; free-form edge names make graphs hard to query, dedupe, and trust.
–The open benchmark corpus is valuable because it lets others test whether the gain comes from the model, the heuristics, or both.

// TAGS

ctxgraphbenchmarkinferencellmagentopen-sourceself-hosted

DISCOVERED

19d ago

2026-03-23

PUBLISHED

19d ago

2026-03-23

RELEVANCE

8/ 10

AUTHOR

synapse_sage