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SuperSonic: Unifying AI Chat BI and Headless BI Platform
SuperSonic is a next-generation AI+BI platform that unifies Chat BI (powered by LLM) and Headless BI (powered by a semantic layer). It aims to make data analysis and insights accessible to everyone.
Java
Added on 2025年7月5日3,921
Stars770
ForksJava
LanguageProject Introduction
Summary
SuperSonic is an innovative AI+BI platform merging the ease of use of Chat BI with the governance and consistency of Headless BI. It leverages LLMs for natural language interaction and a semantic layer for unified data definitions, empowering both technical and non-technical users.
Problem Solved
Traditional BI tools often require technical expertise for data querying and lack a single source of truth for metrics. Integrating AI capabilities is complex. SuperSonic solves this by providing an intuitive, natural language interface for business users and a robust, consistent semantic layer for developers and data teams.
Core Features
Chat BI with Natural Language Querying
Allows users to interact with data and retrieve insights using natural language questions via an integrated chat interface.
Unified Headless BI Semantic Layer
Provides a centralized semantic layer for defining metrics, dimensions, and data relationships, ensuring consistency across all BI consumption points.
LLM-Powered Intelligence
Seamlessly integrates large language models (LLMs) to understand complex queries and generate relevant data visualizations or answers.
Tech Stack
Java
Spring Boot
Python
LLM Frameworks
SQL Databases
Semantic Layer
React
Use Cases
SuperSonic can be applied in various scenarios where data access and insights are crucial, benefiting both business and technical users:
Scenario 1: Self-Service Business Reporting
Details
Business users can type questions like 'What was our sales performance last quarter by region?' and the platform provides the answer with relevant charts.
User Value
Empowers non-technical users to independently access and analyze data, reducing dependency on technical teams and accelerating decision-making.
Scenario 2: Centralized Metric Definition & Governance
Details
Data teams define key business metrics (e.g., 'Monthly Recurring Revenue') and dimensions in the semantic layer. This definition is then used consistently across the Chat BI interface, dashboards, and external applications.
User Value
Ensures data consistency and trust across the organization by providing a single, governed source of truth for all key business metrics.
Scenario 3: Embedding Analytics into Applications
Details
Developers can use the Headless BI API to embed curated data views or analytical capabilities directly into their CRM, ERP, or customer-facing applications.
User Value
Adds powerful, consistent BI functionality to existing applications, providing users with context-aware data insights without leaving their workflow.
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