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ISONGraph
Property graphs that fit your LLM's context window
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#.
Hey PH! I'm Mahesh - AI architect by day, open-source builder at AroorA AI Labs by night. While building GraphRAG pipelines I noticed nobody measures what the serialization format costs - everyone benchmarks retrievers, then dumps the subgraph as JSON. So I benchmarked 10 formats. The format alone swung multi-hop accuracy from 40% to 80%. ISONGraph is what I built from those findings. It's MIT, in 6 languages, and the benchmark methodology is public - poke holes in it. Happy to answer anything!
About ISONGraph on Product Hunt
“Property graphs that fit your LLM's context window”
ISONGraph was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #148 on the daily leaderboard. 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#.
On the analytics side, ISONGraph competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how ISONGraph performed against the three products that launched closest to it on the same day.
Who hunted ISONGraph?
ISONGraph was hunted by Mahesh Vaikri. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of ISONGraph including community comment highlights and product details, visit the product overview.
Mahesh Vaikri