RAG takes large language models a step further by drawing on trusted sources of domain-specific information. This brings clear benefits to healthcare, where access to technical and medical data is ...

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 ...

This repository implements a Retrieval-Augmented Generation (RAG) system to assess the impact of various RAG components and configurations individually. The framework expands user queries, retrieves ...

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 ...

RAG can improve the efficacy of large language model (LLM) applications by leveraging custom data AIChat has a built-in vector database and full-text search engine, eliminating reliance on third-party ...

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 ...

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 ...

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 ...