What Is RAG?
Retrieval-Augmented Generation (RAG) combines information retrieval with LLM generation. Its "retrieve-then-generate" paradigm significantly boosts accuracy, speed, and reliability in QA, analysis, and content creation.
RAG Software Ecosystem
RAG Use Cases
openGauss AGEGraph + LLM for GraphRAGFrom Data to Intelligence: RAG with openGauss + openEuler IntelligenceSpring Boot + openGauss DataVec for Efficient RAG QADeploy Your Personal RAG Knowledge Base with Qwen3 + openGaussOpen-Source AI: Build Your Local AI Assistant with openGauss + DeepSeekopenGauss DataVec + Dify: Build Your Assistant Platform FastopenGauss + Ragflow: From Deployment to Integration