polym-lark-doc-ingest

To automatically sync Lark documents into a knowledge base, you can use a time-range discovery workflow that scans newly created or modified Lark docs, extracts structured insights, and writes them to local and Lark wiki storage.

Outline-first document ingestion reduces costs by fetching only the document outline first to classify relevance, then performing a full fetch and information extraction exclusively on qualifying documents.

Yes, you can ingest a single specific Lark document URL immediately using the single-doc ingest mode, which bypasses the time-range discovery process and directly extracts structured insights.

Desensitization is applied automatically during the extraction process, ensuring that extracted customer, product, people, and competitive intelligence is sanitized before writing to local wiki storage and Lark update queues.

To avoid reprocessing already ingested Lark documents, the ingestion workflow applies deduplication rules that skip previously processed items during the time-range discovery phase.

You can extract TL;DR, customer/product/people entities, feature asks, decisions, competitive intel, and business progress from Lark documents to organize your knowledge base effectively.