Knowledge Graph Builder
$2.99OfficialBuild knowledge graphs from unstructured data for agent grounding: entity extraction, relation mapping, and graph-based retrieval.
What you get
- ✓9-step procedure
- ✓6 pitfalls to avoid
- ✓Installs into 6 tools
- Version
- v1 →
- Last updated
- today
- Length
- 6 min read
- Requires
- Best with a strong model (Claude Sonnet 4)
Works in: Claude Code, Codex, Cline, opencode, OpenClaw, Hermes · Handles multi-file projects
Preview
When to use
Use this skill when the user wants to ground an agent in the relationships between entities in a corpus: "build a knowledge graph from our docs," "map how our systems connect," "I need the agent to answer multi-hop questions about relationships," "GraphRAG." Trigger phrases: knowledge graph, entity extraction, relation extraction, GraphRAG, graph retrieval, entity resolution, multi-hop reasoning.
Do NOT use it for flat document retrieval (that's RAG — use it when relationships matter, not just topical similarity) or a simple taxonomy. Knowledge graphs pay off when queries are relational ("who depends on service X?", "which customers use feature Y built by team Z?") and mul
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