“ Happy New Year! This article should be the last piece in the collection of algorithm insights regarding RAG. Throughout the past year, most of my work has focused on some aspects of large model applications, and I would like to briefly discuss two points that left a significant impression on me regarding RAG system … Read more
Today, I will share a retrieval-augmented generation method designed for resource-constrained scenarios: MiniRAG. Paper link: https://arxiv.org/pdf/2501.06713 Code link: https://github.com/HKUDS/MiniRAG Introduction With the rapid development of retrieval-augmented generation (RAG) technology, the performance of language models in knowledge retrieval and generation tasks has significantly improved. However, existing methods heavily rely on large language models (LLMs), leading to … Read more
Abstract The RAG system is gradually revolutionizing our understanding of AI-driven information processing. To fully leverage its potential, understanding its fundamental principles is crucial. This article aims to succinctly analyze the RAG system, hoping to provide insights and resonance for readers. What is the RAG System? In short, the RAG system integrates large language models … Read more