Document Analysis
Document Analysis uses Knowledge Files as source material for structured semantic and causal workflows in BayesiaLab. A Knowledge File is a file added as detailed LLM context, complementing the General Context you provide for the task.
Use Document Analysis when the source of knowledge is a report, article, transcript, paper, case study, corpus, or other file rather than a short prompt.
Comparison Table
| Function | Best for | Input | Output | Notes |
|---|---|---|---|---|
| Semantic Flowchart Generator | Sequence or process logic in text | Selected text and/or Knowledge File content | Graph of sequential semantic relationships | Use when order matters. |
| Causal Semantic Diagram Generator | Causal claims or mechanisms in text | Selected text and/or Knowledge File content | Graph of causal semantic relationships | Use before probabilistic quantification. |
| Knowledge Graph Generator | Entities and semantic associations | Knowledge File | Entity or relation graph | Available in BayesiaLab 11.6 and later. |
| Causal Network Generator | Probabilistic causal model from documents | Knowledge File content | Causal Bayesian Network or Risk-Centric Causal Network | Review generated effects, CPTs, and root priors before use. |
| Semantic Network Generator | Semantic proximity among document-derived concepts | Knowledge File and selected keywords | Extracted dimensions, embeddings, learned Semantic Network | Useful for thematic mapping. |
| Doc-to-Node Generator | Multi-document corpora | Selected Knowledge Files | One node per document, comments with file content, optional Semantic Network | Useful for document-level maps. |
Common Workflow
- Add the source file or files as Knowledge Files.
- Add General Context if the documents need domain framing or scope constraints.
- Select any required nodes, text, keywords, or Knowledge Files.
- Open the appropriate function under
Hellixia > Document Analysis. - Generate the artifact.
- Review the graph against the source material and edit it before downstream analysis.
Document Analysis Function Index
| Function | Best for | Inputs | Outputs | Status |
|---|---|---|---|---|
| Document Analysis | Reports; articles; transcripts; multi-document source material | Knowledge File(s); optional selected nodes or text; optional General Context | Structured graph artifacts depending on the selected generator | Complete |
| Semantic Flowchart Generator | Narratives; procedures; process descriptions | Knowledge File content; optional selected node name, long name, or comment | Semantic Flowchart | Complete |
| Causal Semantic Diagram Generator | Causal narratives; mechanism extraction; pre-Bayesian causal mapping | Knowledge File content; optional selected node name, long name, or comment | Causal Semantic Diagram | Complete |
| Knowledge Graph Generator | Entity and relation extraction; source-material exploration | Knowledge File | Knowledge Graph | Complete |
| Causal Network Generator | Document-derived Causal Bayesian Networks; risk-centric models | Knowledge File content; optional General Context | Nodes; causal links; mechanism comments; causal effects; conditional probability tables; root priors | Complete |
| Semantic Network Generator | Semantic proximity among document-derived concepts; theme discovery in source material | Knowledge File; selected keywords; optional General Context | Extracted dimensions; embeddings; learned Semantic Network | Complete |
| Doc-to-Node Generator | Multi-document corpora; document-level semantic maps | Selected Knowledge Files | Document nodes; comments containing file content; optional embeddings; optional Semantic Network | Complete |