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Knowledge graph search with electrical circuit scoring

OpenKGO replaces binary yes/no matching in knowledge graph search with a scoring system modeled as an electrical circuit. Each query becomes a circuit where relevance is measured by current flow, enabling soft ranking instead of hard pattern matching. It runs locally, is open source under Apache-2.0, and aims to improve retrieval for RAG and search applications.

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1 engagement·1 source·Sun, Jul 12, 2026, 06:09 PM
The project introduces a semantic field approach where queries are converted into electrical circuits, and the current through each node represents relevance score. This avoids the problem of structurally valid but semantically wrong matches appearing equal to correct ones. The demo shows a 60-second silent video. Tech stack: Python, open source, Apache-2.0 license. No traction signals beyond the single Reddit post.

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OpenKGO(tool)mloda-ai(company)

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