rag-audit

You can audit a RAG implementation by scanning your codebase for anti-patterns and performance issues across chunking, embeddings, vector stores, retrieval, and generation. It produces a structured audit report with categorized findings and actionable fixes.

Common RAG anti-patterns include suboptimal chunking, inefficient embeddings, and poor vector store retrieval configurations. An audit detects these mistakes by validating code against production-grade industry standards and generating practical recommendations.

Check if your RAG code is production ready by validating implementations against industry standards to identify performance issues and critical warnings. This generates a structured report detailing categorized findings for development, staging, and production environments.

You can analyze RAG vector store and embeddings performance issues across development, staging, and production environments. The audit identifies suboptimal patterns and provides practical code examples to resolve detected issues.

The best way to find suboptimal chunking patterns is to run an automated code analysis that scans for RAG-related mistakes. It detects suboptimal patterns and outputs practical recommendations with actionable code examples.