Running local models means every token counts — an 8K or 16K window fills up fast when you're stuffing graph context into prompts for RAG. I benchmarked 10 graph serialization formats (JSON, GraphML, RDF variants, edge lists, etc.) on token count and reasoning accuracy, and the results surprised me:
