codebase-rag-enforcer

You can enforce architecture rules in RAG code searches by ranking constraints and patterns ahead of raw code chunks. This approach uses ChromaDB collections to prioritize defined API contracts during retrieval.

Preventing AI agents from violating API contracts requires extracting metadata like imports, exports, and endpoints to guide generation. This ensures agents follow defined patterns when performing code search or generating code.

Indexing a codebase for constraint-aware RAG queries involves setting up three distinct collections for code, constraints, and patterns. This structure allows the system to run a full indexing and health workflow for production environments.

ChromaDB works effectively for separating constraints from raw code by using dedicated collections for codebase, constraints, and patterns. This separation enables metadata-driven insights to enforce architectural guidelines during search.

Setting up an MCP server to manage architectural constraints involves configuring a full workflow for setup, index, query, and health checks. This ensures production-grade environments can continuously enforce weighted pattern prioritization.

You should avoid using a weighted constraint approach for codebase RAG when your project lacks clearly defined architectural guidelines or API contracts. Without strict patterns to prioritize, the constraint enforcement adds overhead without benefit.