> ## 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.

# How Jedify Uses the Semantic Fusion™ Model

The Jedify platform leverages the Semantic Fusion™ Model through an agentic flow system. This process seamlessly transforms natural language questions into structured data responses:

<img src="https://mintcdn.com/jedify-ecb33f09/7s0VSUiS9WPoZwj8/images/docs/architecture.png?fit=max&auto=format&n=7s0VSUiS9WPoZwj8&q=85&s=f931d02dc0c84c6f66b7a10e90f106a7" alt="" width="3824" height="1948" data-path="images/docs/architecture.png" />

**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.
