Beyond Vector Search: Building Automated Knowledge Graphs for GenAI
中文摘要
本文探讨如何通过构建自动化知识图谱超越向量搜索，将碎片化文档转化为GenAI推理层，用于分析依赖关系、所有权及系统影响。
English Summary
This article explores building automated knowledge graphs beyond vector search to transform fragmented enterprise documents into a reasoning layer for analyzing GenAI dependencies and impacts.
原文节选
How to turn fragmented enterprise documents into a queryable reasoning layer for dependencies, ownership, impact analysis and system-wide… Continue reading on Medium »