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ISONGraph

ISONGraph

Property graphs that fit your LLM's context window

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GraphRAG has a hidden tax: serializing your knowledge graph as JSON or RDF wastes ~70% of tokens on syntax. ISONGraph is a property-graph format designed for LLM comprehension - benchmarked against 9 other formats: 92% traversal accuracy, 80% multi-hop reasoning (vs 40-70%), ~70% fewer tokens. Node/edge CRUD, multi-hop traversal, Cypher-like queries, schema validation, optional semantic search. MIT licensed. Python, JS/TS, Rust, Go, C++, C#.

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