running
Polyglot
RAG-powered codebase intelligence — natural-language querying over a cross-language dependency graph.
60% faster
Dependency resolution
<500ms
Query latency
10K+ nodes
Graph scale
Polyglot demo — video coming soon
Node.jsNeo4jRAGOpenAI APIDockerRedis
→ built because grep and Ctrl+F stop working once a codebase spans six languages and you're the new person trying to understand it.
- Problem
- Cross-language dependency mapping needed to scale across large, multi-language codebases without the slow, ad hoc analysis most tools fall back on.
- Solution
- A multi-language AST parsing engine feeds a Neo4j graph database, paired with a RAG pipeline over that graph so architecture questions can be asked in plain English instead of grepped for.
- Result
- 60% faster dependency resolution across 6+ language repos, sub-500ms query latency on 10K+ node graphs, adopted by 50+ beta developers for architectural debugging.