A user on Reddit shared an experimental approach to building an AI system for a complex ERP application, moving away from traditional vector-search retrieval-augmented generation (RAG). Instead, they created detailed Markdown files documenting the application's modules, business logic, and database relationships. These files were then used to generate knowledge graphs, which Claude CLI used to understand and navigate the application's structure. This documentation-first method reportedly led to significantly better results and a substantial reduction in hallucinations compared to their previous RAG implementation. AI
IMPACT Suggests alternative architectures for complex AI applications beyond standard RAG.
RANK_REASON User-generated post discussing an experimental approach to AI system architecture.
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