ThinkDoc processes PDF, Word, PPT and other complex format files through deep document parsing technology, extracts semantic and structured data such as text, tables, pictures, etc., and uniformly stores them as a multimodal knowledge warehouse. The platform uses a fusion retrieval system combining semantic understanding, keyword matching and knowledge graph reasoning to transform raw data into structured knowledge that can be used directly by AI. For example, uploaded technical manuals are parsed into labeled text and chart data to support AI application scenarios such as intelligent Q&A or report generation.
This answer comes from the articleThinkDoc: Knowledge Base Platform for Intelligent Parsing and RetrievalThe
May not be reproduced without permission:AI productivity tools " How ThinkDoc transforms unstructured data into AI-ready knowledge assets
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