Stop Building RAG Like It’s 2024: Shift from Vector DBs to Multi Modal Knowledge Graphs
中文摘要
生产级AI应从传统的向量数据库转向多模态知识图谱，以克服向量搜索局限并提升RAG性能。
English Summary
Transition from traditional vector-based RAG to multi-modal knowledge graphs to enhance production AI performance and overcome vector search limitations.
原文节选
Standard vector search got us surprisingly far. But if you’ve spent enough time building production AI systems, you’ve probably noticed… Continue reading on Medium »