claude

graphrag-builder

Corpus to knowledge graph: PDF cleanup, ontology design, schema-grounded extraction, Neo4j load, validation, and graph retrieval.

1 on GitHubby Kamalv0.1.0MITupdated 1 month agodata
/

Plugin graphrag-builder from marketplace graphrag-builder in Kamaal404/ragmen-kitchen-. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (1)

  • graphrag-builder

    Turn a raw text corpus (laws and regulations, recipe collections, policies, manuals, standards, medical or technical documentation) into a schema-grounded Neo4j knowledge graph and a working GraphRAG retrieval layer. Use this skill whenever the user wants to build a knowledge graph from documents, m

Slash commands (5)

  • /graphrag-builder:gr-cost

    Pick an extraction model and estimate what a run will cost

  • /graphrag-builder:gr-ingest

    Run the full ingest pipeline for a corpus, stopping at the dry run

  • /graphrag-builder:gr-profile

    Design a new corpus profile (ontology) and get sign-off before extracting

  • /graphrag-builder:gr-query

    Query the knowledge graph and explain what the traversal returned

  • /graphrag-builder:gr-validate

    Validate a loaded graph and diagnose quality problems

View source on GitHub

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