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Knowledge Graph Generator

Menu path: Hellixia > Document Analysis > Knowledge Graph Generator

What it does

Extracts key entities from Knowledge Files and connects them through semantic relationships.

Treat Hellixia output as a structured starting point for analyst review, expert refinement, learning, inference, or communication. Generated causal directions and quantification should be checked before they are used operationally.

When to use it

  • Entity and relation extraction
  • Source-material exploration

Inputs

  • Knowledge File

Outputs

  • Knowledge Graph

Step-by-Step Workflow

  1. Prepare the network, source material, selected nodes, selected arcs, or Knowledge Files required by the function.
  2. Confirm that Hellixia provider settings and model access are configured.
  3. Open Hellixia > Document Analysis > Knowledge Graph Generator.
  4. Review the available options and add General Context when the model needs domain-specific guidance.
  5. Run the function and inspect the generated graph, comments, priors, embeddings, translations, or images.
  6. Edit the output in BayesiaLab before using it for analysis, publication, or decision support.

Review Guidance

Check whether the generated labels, relationships, comments, classes, probabilities, or causal effects match the source material and expert understanding. For causal outputs, verify that the proposed direction and mechanism are plausible and that no important confounder or alternative explanation has been hidden by the generated structure.

Examples

  • Literature — Semantic Flowchart, Knowledge Graph, or Semantic Network
  • Song Lyrics — Semantic Flowchart or Knowledge Graph

Version Notes

Available in BayesiaLab 11.6 and later.