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Tag: RAG

10 post(s)

September 20, 20260 comment(s)

Introduction to Rerank: Why do we have to "re rank" after RAG retrieval

When the Retrieval Enhanced Generative (RAG) system was first launched, many people felt that the answer was "irrelevant": the knowledge base clearly had the correct paragraph, but the model reference

Tech Guide Search enhanced generation vector database RAG

September 18, 20260 comment(s)

Introduction to RAG (Retrieval Enhanced Generations): Connecting Large Models with an 'External Brain'

The big model knows a lot, but it has two shortcomings that cannot be avoided: first, knowledge has a deadline, and it does not know what happens after training; Secondly, it is not good at rememberin

Tech Guide large model RAG Search enhanced generation

September 12, 20260 comment(s)

Vector Databases 101: How to Choose and Tune the Retrieval Layer for RAG

检索增强生成（RAG）已经成为大模型落地最主流的工程范式之一：它不改动模型权重，而是把外部知识以“检索 + 拼接”的方式送进上下文。问题也随之而来——很多团队把精力全花在提示词和模型选型上，却低估了检索层的重要性。检索没召回对，再强的模型也只能基于错误信息作答。一、向量数据库到底解决什么问题RAG 的核心是把文本转成向量（embedding），再按语义相似度找出最相关的片段。向量数据库就是承载这一

Tech Guide RAG vector database

August 30, 20260 comment(s)

Engineering Practice of Retrieval Enhanced Generation (RAG): Five Key Designs of Enterprise Knowledge Base Q&A System

No matter how smart the big model is, it cannot cover the private knowledge within the enterprise. Retrieval Augmented Generation (RAG), through a "search first, generate later" architecture, injects

Tech View RAG knowledge base

August 26, 20260 comment(s)

AI transformation of enterprise knowledge base: from document stacking to intelligent question answering

Many companies face the same dilemma: the accumulation of documents makes knowledge increasingly difficult to find. System documents, project reviews, and customer records are scattered across differe

Tech Guide Enterprise AI RAG knowledge management

August 23, 20260 comment(s)

Practical Construction of Enterprise Knowledge Base: From Document Scattering to Intelligent Retrieval

The current situation of knowledge management in many enterprises is that data is scattered in personal computers, chat records, shared disks, emails, and various SaaS tools, and finding a "last time

Tech Guide Enterprise AI knowledge base RAG

July 3, 20260 comment(s)

The Application of Large Models in Enterprise Knowledge Management: From Document Retrieval to Intelligent Question Answering

In the era of information explosion, the knowledge assets accumulated by enterprises, such as documents, reports, emails, meeting minutes, etc., are growing exponentially. How to transform these scatt

Tech View Enterprise AI knowledge management RAG

June 22, 20260 comment(s)

The Evolution of RAG Technology: The Leap from Vector Retrieval to Agenetic RAG

Retrieval enhanced generation (RAG) is undergoing a silent revolution. Since the widespread acceptance of the RAG concept in 2023, this technology has evolved from a simple two-stage architecture of "

Tech News RAG large model Search enhanced generation

May 30, 20260 comment(s)

RAG Technology Explanation: From Theory to Enterprise Level Practice

Retrieval Augmented Generation (RAG) is currently the most mainstream architecture pattern in enterprise level AI applications. It combines information retrieval with the ability to generate large lan

Tech RAG Search enhanced generation knowledge base

May 30, 20260 comment(s)

Deep analysis of RAG technology: enabling large models to learn retrieval

##What is RAG?RAG (Retrieval Augmented Generation) is a technology architecture that combines information retrieval with language model generation capabilities. Its core idea is to retrieve relevant d

Tech Guide RAG Search enhanced generation knowledge base