Define the handoff artifact clearly
The conversion target should be an artifact that both people and systems can trust. Markdown fits this role because it is simple enough for reviewers to scan and structured enough for downstream processing. Once that handoff artifact is fixed, every other pipeline decision becomes easier: storage, versioning, indexing, and auditing all gain a stable intermediate representation.
Separate conversion from enrichment
Do not force the converter to solve every downstream task. Let conversion focus on extracting readable Markdown. Handle classification, tagging, chunking, or embedding as distinct later stages. This separation keeps failures easier to diagnose and prevents one overloaded step from becoming the place where every content problem is hidden.
Use preview for gatekeeping
A lightweight preview gate dramatically improves ingestion quality. Instead of sending every raw output straight into the knowledge base, give reviewers a quick chance to reject files with missing sections, corrupted tables, or severe encoding issues. This is not bureaucracy; it is quality control at the cheapest possible stage.
Store source and Markdown together
The best ingestion systems preserve the relationship between the original file and the generated Markdown. When questions arise later, teams need to trace output back to source. This relationship also helps when parsers improve and you want to reprocess certain document families with better logic or updated cleanup rules.
Design for reprocessing, not one-time success
Content pipelines age. Parsers improve, document templates change, and AI retrieval expectations evolve. A healthy ingestion flow assumes some content will be re-run. That is another reason Markdown is useful: it gives you a stable output to compare across versions and makes reprocessing decisions visible rather than opaque.