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DISCKAIMER.md
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2. This disclaimer applies to all users of this software. This software reserves the right to modify and update this statement at any time, and notify users in the form of Github Readme, software updates, etc. Please review regularly and abide by the latest disclaimer.
3. The original design intention of this project is to provide a basic framework/tool ​​set, mainly focusing on [briefly describing the core functions of the project]. To keep the project simple and easy to use, we intentionally did not integrate any form of user login, authentication or authorization mechanism.
3. The original design intention of this project is to provide a basic framework/tool ​​set, mainly focusing on RAGs,Agents, AWEL, etc. To keep the project simple and easy to use, we intentionally did not integrate any form of user login, authentication or authorization mechanism.
4. If you plan to deploy this project into a production environment, it is strongly recommended to connect to existing third-party authentication services (such as OAuth, OpenID Connect, etc.) according to your specific needs, or to develop and maintain a complete set of user management and permissions yourself. control system.

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README.md
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The purpose is to build infrastructure in the field of large models, through the development of multiple technical capabilities such as multi-model management (SMMF), Text2SQL effect optimization, RAG framework and optimization, Multi-Agents framework collaboration, AWEL (agent workflow orchestration), etc. Which makes large model applications with data simpler and more convenient.
🚀 **In the Data 3.0 era, based on models and databases, enterprises and developers can build their own bespoke applications with less code.**
### DISCKAIMER
- [disckaimer](./DISCKAIMER.md)
### AI-Native Data App
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- 🔥🔥🔥 [Released V0.6.0 | A set of significant upgrades](https://docs.dbgpt.cn/docs/changelog/Released_V0.6.0)