documentador-rag-revisor

To validate Markdown documents for RAG ingestion, you can use a linter that checks structural and semantic conformance, verifying YAML frontmatter, section hierarchy, and theory/practice classifications to ensure reliable chunking in vector databases.

Markdown validation for RAG ensures documentation meets structural and semantic rules before vector ingestion. It enforces required YAML frontmatter, valid section hierarchies, and clean summaries, guaranteeing deterministic chunking and reliable retrieval.

To check YAML frontmatter for automated pipelines, a validation tool verifies the presence of required fields like name and description. It reports non-conformities without altering the input document, ensuring seamless CI/CD integration.

Yes, Markdown linting for RAG checks section hierarchy and summary content. It validates theory and practice classifications, enforces correct structural sections, and prohibits operational details in summaries to maintain semantic quality.

Yes, you can validate Markdown in CI/CD without modifying source files. The validator performs independent content checks and outputs a report of non-conformities, leaving the original document untouched for safe automated pipeline integration.

Limitations of automated Markdown validation include its strict focus on structural and semantic rules, meaning it enforces predefined section hierarchies and required YAML fields but does not evaluate the factual accuracy of the ingested content.