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 ...

Retrieval augmentated generation (RAG) has grown increasingly popular as a way to improve the quality of text generated by large language models. Now that multimodal LLMs are in vouge, it's time to ...

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 ...

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 ...

原文： Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely ...

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 ...