Continuous Learning in Agentic RAG: Improving Over Time
Agentic RAG’s continuous learning mechanism allows it to evolve with every interaction. As users engage with the system, it refines its ability to retrieve and generate more accurate responses. By incorporating user feedback and learning from new information, the system continuously improves its performance, becoming more effective at addressing diverse and complex queries. This feature makes Agentic RAG a robust, long-term solution for evolving AI applications.
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