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Fix typo in README and update section headings

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<p align="center"><img src="https://resource-fit2cloud-com.oss-cn-hangzhou.aliyuncs.com/sqlbot/sqlbot.png" alt="SQLBot" width="300" /></p>
<h3 align="center">Intelligent Questioning System Based on Large Models and RAGs</h3>
<h3 align="center">Intelligent Questioning System Based on Large Models and RAG</h3>
<p align="center">
<a href="https://github.com/dataease/SQLBot/releases/latest"><img src="https://img.shields.io/github/v/release/dataease/SQLBot" alt="Latest release"></a>
<a href="https://github.com/dataease/SQLBot"><img src="https://img.shields.io/github/stars/dataease/SQLBot?color=%231890FF&style=flat-square" alt="Stars"></a>
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<hr/>
SQLBot is an intelligent data query system based on large language models and RAGs, meticulously crafted by the DataEase open-source project team. With SQLBot, users can perform conversational data analysis (ChatBI), quickly extracting the necessary data information and visualizations, and supporting further intelligent analysis.
SQLBot is an intelligent data query system based on large language models and RAG, meticulously crafted by the DataEase open-source project team. With SQLBot, users can perform conversational data analysis (ChatBI), quickly extracting the necessary data information and visualizations, and supporting further intelligent analysis.
## Working principle
## How It Works
<img width="1105" height="577" alt="image" src="https://github.com/user-attachments/assets/58f147ff-412e-4ac9-a450-5d01a0bbe9f6" />
## Core advantages
## Key Features
- **Out-of-the-Box Functionality:** Simply configure the large model and data source; no complex development is required to quickly enable intelligent data collection. Leveraging the large model's natural language understanding and SQL generation capabilities, combined with RAG technology, it achieves high-quality Text-to-SQL conversion.
- **Secure and Controllable:** Provides a workspace-level resource isolation mechanism, building clear data boundaries and ensuring data access security. Supports fine-grained data permission configuration, strengthening permission control capabilities and ensuring compliance and controllability during use.
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This repository is licensed under the [FIT2CLOUD Open Source License](LICENSE), which is essentially GPLv3 but with some additional restrictions.
You can perform secondary development based on the SQLBot source code, but you must adhere to the following:
You may conduct secondary development based on the SQLBot source code, but you must adhere to the following:
- You cannot replace or modify the SQLBot logo and copyright information;