Dev Tools · 2h ago
Semantic Search Unifies 46 Repos via AI-Enhanced Knowledge Graph
Ryan Tsuji, CTO at airCloset, extends a static-analysis knowledge graph across 46 repositories by adding semantic search through AI-generated context. By joining the code graph with a separate database graph covering 1,133 tables, natural-language queries become possible without manual annotations. The approach solves the entry-point problem, ensuring AI models access verified facts rather than inferred ones.
Meridian48 take
The technique of merging knowledge graphs from different domains is practical, but the reliance on AI-generated descriptions may introduce inaccuracies that static analysis alone avoids.
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Making the Context Across 46 Repositories Semantically Searchable for AI (Part 2) →
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