Maybe few people have paid attention to the ragflow 0.2 released a few days ago. I think it is a very big

Maybe few people have paid attention to the ragflow 0.2 released a few days ago. I think it is a very big progress, especially for enterprises that pursue tob scenarios that are stable, accurate, and reusable business processes. It will be very useful! RAG and Agent collaborate to drive context engineering upgrades. In RAGFlow, RAG is no longer just a data storage, but a core hub for processing unstructured information and outputting accurate context to the Agent in real time. Compared with traditional application and database models, Agent relies more closely on context and requires accurate matching of user intentions in real time. This update significantly promotes the in-depth integration of RAG and Agent, and promotes the initial formation of the concept of "context engineering", that is, integrating structured and unstructured data to become a solid foundation for Agent intelligence. This design not only supports the customized development of multi-scenario Agent templates, but also makes specialized intelligent assistants in fields such as law and medical care a feasible path, marking a solid step for AI agents to deeply mine the value of enterprise data. Future memory management and agent plan tuning functions will further improve the practicality and stability of intelligent agents.