Please add support for indexing and querying .md (Markdown) text files in the Internal Knowledge feature of ChatGPT when connected to Google Drive.
Rationale:
Markdown is a widely used plain text format in software development, technical documentation, and internal knowledge bases. Many organizations—including ours—store critical documentation as .md files in Google Drive (e.g., README.md, architecture docs, AGBs, project wikis, etc.).
Currently, these files do not appear to be reliably indexed or surfaced in responses via Internal Knowledge, even though their content is plain text and structurally similar to .txt.
Benefits:
- Full semantic search across engineering and documentation workflows
- No need to duplicate content in
.txtor.gdocformats - Better support for developer teams and technical users
Suggested Implementation:
- Treat
.mdfiles as plain text (like.txt) - Allow them to be indexed and referenced in semantic responses
- Optionally parse basic Markdown structure (headings, lists) for improved relevance
Thank you for considering this improvement – it would make a big difference for technical teams using ChatGPT in daily operations.