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Index documents into a knowledge graph for search and drift auditing.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "DocGraph" yet — see the docs or source repo.
Scan this document repository of Markdown, Word, HTML, and PDF files, build a knowledge graph, and identify stale policies, superseded ADRs, and conflicting statements. Output results by file, evidence snippet, and recommended action.
An audit report listing stale documents, conflicting content, reference links, and recommended actions.
Index all project papers, research memos, and PDF reports with mixed Chinese and English search. Find content related to "retention improvement" and "experiment bias," and highlight cross-document references or conflicting conclusions.
Returns relevant document snippets, keyword matches, and summaries of cross-references and conflicting conclusions.
Compare the document corpus with code documentation materials and identify code exports, interfaces, or modules that exist but are not documented. Output missing items, related file paths, and potentially affected documents.
A list of undocumented exports with evidence sources and the documents that should be updated.
Search Markdown knowledge bases and navigate linked notes as a graph.
Retrieve technical documentation through MCP for accurate on-demand LLM references.
Index docs from websites, repos, and folders for AI search and retrieval.
Check documentation against source code and suggest fixes for drift.
Ingest documents into Neo4j to build and query a knowledge graph.
Build and explore AI-enriched knowledge graphs from documents and code.