Skip to main content

Documentation Index

Fetch the complete documentation index at: https://docs.jedify.com/llms.txt

Use this file to discover all available pages before exploring further.

The Jedify platform leverages the Semantic Fusion™ Model through an agentic flow system. This process seamlessly transforms natural language questions into structured data responses: Question Intake: User submits a natural language question Profiler Agent: Analyzes the question using several components:
  • Timeframe Analyzer: Identifies temporal aspects
  • Question Classifier: Categorizes the query type
  • Scope: Extracts the scope needed to answer the question
Entities Retrieval: Determines what information is required to answer SQL Compilation: Transforms requirements into executable SQL leveraging the semantic model Answer Composition: Assembles the various components of the response
  • Data Normalizer: Ensures consistent formatting and units
  • Output Generation: Produces charts, insights, and explanations
The Semantic Fusion™ Model serves as the infrastructure layer that enables this entire process, providing the semantic understanding necessary to interpret questions and compose appropriate SQL.