To address these limitations, this paper introduces Legal Query RAG (LQ-RAG), a novel Retrieval-Augmented Generation framework with a recursive feedback mechanism specifically designed to overcome the ...

将推理与RAG相结合仍面临挑战，例如复杂查询需要多步分解，且LLMs难以生成精确的子查询，导致检索效率低下。 人类思维过程与 DeepRAG 的对应关系。具体来说，检索叙事确保了结构化和自适应的检索流程，根据之前检索到的信息生成子查询，并且原子决策动态 ...

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This article outlines and defines various practices used across the RAG pipeline—full-text search, vector search, chunking, hybrid search, query rewriting, and re-ranking. What is full-text search?

In regard to language models, most of us are familiar with systems such as Perplexity, Notebook LM and ChatGPT-4o, that can incorporate novel external information in a Retrieval Augmented Generation ...

DeepSeek R1 只是一个开始。凭借即将推出的自我验证和多跳推理等功能，未来的 RAG 系统可以自主辩论和完善其逻辑。 是否想过直接向PDF文档或技术手册提问？本文将演示如何通过开源推理工具DeepSeek R1与本地AI模型框架Ollama搭建检索增强生成（RAG）系统。 利用 ...

Currently, three trending topics in the implementation of AI are LLMs, RAG, and Databases. These enable us to create systems that are suitable and specific to our use. This AI-powered system, ...

RAG系统的搭建与优化是一项庞大且复杂的系统工程，通常需要兼顾测试制定、检索调优、模型调优等关键环节，繁琐的工作流程往往让人无从下手。 近日，针对以上痛点，清华大学THUNLP团队联合东北大学NEUIR、面壁智能及9#AISoft团队共同推出了UltraRAG框架，该框架 ...

RAG系统的搭建与优化是一项庞大且复杂的系统工程，通常需要兼顾测试制定、检索调优、模型调优等关键环节，繁琐的工作流程往往让人无从下手 ...

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Learn More Popular AI orchestration framework LlamaIndex has introduced Agent Document Workflow (ADW), a new architecture that the company says goes beyond retrieval-augmented generation (RAG ...