Blog | RAGFlow
Blog| ragflow.io
The workflow of a naive RAG system can be summarized as follows: the RAG system does retrieval from a specified data source using the user query, reranks the retrieval results, appends prompts, and sends them to the LLM for final answer generation.| RAGFlow Blog
As of v0.8, RAGFlow is officially entering the Agentic era, offering a comprehensive graph-based task orchestration framework on the back-end and a no-code workflow editor on the front-end. Why agentic? How does this feature differ from existing workflow orchestration systems?| ragflow.io
