Recently, the AI technology integration system TaiXu-Admin has released version V0.0.10. This update not only brings enhancements to several key features but also includes multiple optimizations, marking an important advancement in the field of large model applications for this platform.

Firstly, TaiXu-Admin now supports compatibility with the Ollama model, further expanding the flexibility of its network models. This means users can more conveniently utilize different models for intelligent dialogue and information retrieval. Additionally, the system's ability to handle exceptions when processing RAG (retrieval-augmented generation) and Agent (multi-agent collaboration) functions has been improved, which will effectively enhance the system's stability and response speed.

The backend of the system is built using the Python language, and the RESTful API service is developed using the Flask framework, ensuring fast and efficient feature iteration. At the same time, the frontend part uses the React technology stack combined with the Umi framework and Ant Design component library, providing users with an aesthetically pleasing and easy-to-use interface. This front-end and back-end separation, modular architecture design makes TaiXu-Admin well-adapted for function expansion and maintenance.

In terms of AI application, TaiXu-Admin integrates two frameworks, LangChain and LangGraph, which are responsible for building modular large model application pipelines and multi-agent collaboration processes, respectively. Whether it is document retrieval under the RAG mode or intelligent Q&A under the Agent mode, TaiXu-Admin provides a variety of solutions, such as HybridRAG, ReAct, and multi-agent collaboration, greatly enriching the scenarios of AI applications.

Additionally, the system has made significant efforts in data infrastructure, choosing the high-performance Qdrant vector database to support semantic similarity search in RAG scenarios, and introducing the Neo4j graph database to handle complex relationship modeling. Meanwhile, PostgreSQL, as a relational database, ensures stable storage of structured data.

In summary, the release of TaiXu-Admin V0.0.10 not only enhances the system's level of intelligence but also provides developers and enterprises with a more powerful AI tool. As AI technology continues to advance, TaiXu-Admin is expected to lead industry development trends in the future.