Chunk boundaries
Headings and lists help create logical document segments instead of arbitrary PDF text runs.
Retrieval preparation
PDF to Markdown for RAG pipelines
RAG pipelines are easier to debug when source text is clean and inspectable. PDF2MD converts text-based PDFs into Markdown before chunking, metadata enrichment, embedding, and retrieval evaluation.
Why Markdown is useful before indexing
Table visibility
Markdown tables are easier to inspect and transform before embedding or hybrid search.
Source control
Store extracted Markdown alongside ingestion code so changes can be reviewed over time.
RAG workflow fit
PDF2MD is best used as an extraction step before your own cleanup, metadata assignment, chunking, embedding, and evaluation. It avoids vendor lock-in by producing plain Markdown.
FAQ
Can I feed this into a vector database?
Yes, after you split the Markdown into chunks and attach useful metadata.
Does it create embeddings?
No. It only converts PDF content to Markdown.
Does it handle scanned PDFs?
No. Run OCR separately before using this converter.
Is it useful for evaluation?
Yes, Markdown makes source passages easier to inspect when debugging retrieval results.