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Tag: Search enhanced generation

5 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

TechGuideSearch enhanced generationvector databaseRAG
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

TechGuidelarge modelRAGSearch enhanced generation
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 "

TechNewsRAGlarge modelSearch 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

TechRAGSearch enhanced generationknowledge 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

TechGuideRAGSearch enhanced generationknowledge base

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