How LLMs Actually Search the Web and Build RAG Pipelines
中文摘要
本文解析了 LLM 如何利用向量数据库、查询重写和嵌入构建 RAG 流水线，实现 Gemini 和 ChatGPT 等模型的实时网页搜索。
English Summary
This article explains how LLMs like Gemini and ChatGPT use vector databases, query rewrites, and embeddings to build RAG pipelines for live web searching.
Original Excerpt
Deconstructing vector databases, text query rewrites, dense embeddings, and how Gemini, ChatGPT, and Claude query live web data. Continue reading on Medium »