Hellixia User Guide

Context

Hellixia is BayesiaLab’s subject matter assistant powered by Generative AI. It provides a broad set of tools to help characterize and analyze a problem domain, from semantic extraction to causal structuring.

This guide focuses on how to use each Hellixia function in BayesiaLab.

Main Capability Areas

• Automatic Causal Network Generator: builds causal structures from a prompt, including causal effects and CPT initialization.
• Automatic Semantic Network Generator: extracts dimensions and learns a semantic network from embeddings.
• Document Analysis: turns knowledge files into semantic and causal artifacts.
• Causality Analysis: evaluates and enriches causal links with LLM-supported mechanisms and priors.
• Authoring & Enrichment Tools: includes dimension elicitation, embedding generation, comment generation, class naming, translation, and image generation.

Hellixia Features & Functions

Public Hellixia Examples

For curated end-user demonstrations across domains, see Hellixia Examples.

Webinars & Seminars About Hellixia

• Webinar: Discovering Complex Causal Structures with Hellixia
• Webinar: Harnessing Hellixia Innovations in Bayesian Belief Network Construction
• Webinar: From Narratives to Networks — Transforming Textual Feedback from Consumers into Causal Bayesian Networks with BayesiaLab and Hellixia