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by Jet_Xu
562 days ago
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Interesting discussion! While RAG is powerful for document retrieval, applying it to code repositories presents unique challenges that go beyond traditional RAG implementations. I've been working on a universal repository knowledge graph system, and found that the real complexity lies in handling cross-language semantic understanding and maintaining relationship context across different repo structures (mono/poly). Has anyone successfully implemented a language-agnostic approach that can:
1. Capture implicit code relationships without heavy LLM dependency?
2. Scale efficiently for large monorepos while preserving fine-grained semantic links?
3. Handle cross-module dependencies and version evolution? Current solutions like AST-based analysis + traditional embeddings seem to miss crucial semantic contexts. Curious about others' experiences with hybrid approaches combining static analysis and lightweight ML models. |
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