Feedback and Ideas

 Currently, Glean's crawler strips visual formatting and CSS attributes (such as strikethrough styling) during document ingestion, flattening content into plain text for vector embeddings. When documents (e.g., Google Docs or Confluence pages) contain struck-through text to signify obsolete or deprecated specifications, Glean evaluates those sections as active, valid content. This causes the AI to cite outdated text as current truth, leading to conflicting search and chat responses.

 Document readers often do not have edit permissions on primary architecture or technical specification documents to manually insert plain-text markers like 

. Relying on manual text edits across thousands of enterprise documents creates unnecessary maintenance overhead and undermines user trust in Glean's response accuracy.

 Update the document ingestion pipeline for Google Docs and Confluence to extract character-level formatting metadata (e.g., 

 Convert struck-through text into Markdown syntax (e.g., 

 tags during document chunking prior to generating vector embeddings.

 Provide workspace settings allowing administrators to toggle whether struck-through text should be automatically excluded or flagged as inactive during indexing.

Feature Request: Honor Strikethrough & Formatting Metadata in Document Indexing

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