MiniRAG优化RAG系统，小模型高效，提升性能且存储节省75%。 还在为部署RAG系统的庞大体积和高性能门槛困扰吗？港大黄超教授团队最新推出的轻量级 ...

With the launch of the Contextual AI Platform, enterprises will be able to create specialized “RAG agents” that can automate knowledge work on behalf of users. The new platform is based on an ...

Horatio Alger’s repetitive stories reached their true popularity and became synonymous with social mobility largely thanks to retellings after the writer’s death Teresa Nowakowski Daily ...

For RAG systems specifically, RAGAS and LlamaIndex emerged as evaluation tools, with RAGAS focusing on response accuracy and relevance using human evaluators, while LlamaIndex employs GPT-4 for ...

检索增强生成 RAG 技术通过提供可靠且最新的外部知识，有效提升了大语言模型的输出质量，极大地便利了各类任务，并对多个行业产生了日益显著 ...

Retrieval-Augmented Generation (RAG) is a machine learning framework that combines the advantages of both retrieval-based and generation-based models. The RAG framework is highly regarded for its ...

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 ...

RAG和知识图谱集成可以释放出更大的潜力，实现更深入的理解、推理和准确性。 在当今信息驱动的时代，数据是企业、研究人员和个人的重要资源。然而，这些数据通常分散在跨系统的孤岛中，它们是非结构化的，并且无法进行有效的分析。挑战不仅在于拥有 ...

Have you ever turned to artificial intelligence (AI) for answers and gotten a response that made you do a double-take? You’re not the only one. AI hallucination isn’t a sci-fi trope - it’s a ...

随着大模型技术的不断发展，尤其是大模型上下文窗口（context window）逐渐增大的趋势，许多研究者开始思考是否可以借此特点简化传统的 RAG（Retrieval-Augmented Generation）架构。在此背景下，2024年12月的研究论文提出了一个创新方案——CAG（Cache-Augmented Generation ...