Sep 23, 2024 · RAG（Retrieval-Augmented Generation，检索增强生成） 是一种结合了信息检索技术与语言生成模型的人工智能技术。 该技术通过从外部知识库中检索相关信息，并将其作为提示（Prompt）输入给大型语言模型（LLMs），以增强模型处理知识密集型任务的能力，如问答、文 …

Retrieval-augmented generation (RAG) is a technique that enables generative artificial intelligence (Gen AI) models to retrieve and incorporate new information. [1] It modifies interactions with a large language model (LLM) so that the model responds to user queries with reference to a specified set of documents, using this information to ...

Feb 10, 2025 · RAG, or Retrieval-Augmented Generation, represents a groundbreaking approach in the realm of natural language processing (NLP). By combining the strengths of retrieval and generative models, RAG delivers detailed and accurate responses to user queries.

Mar 31, 2025 · 在自然语言处理（NLP）领域，生成式 AI（如 GPT-4）在文本生成方面表现优异，但其主要依赖于预训练的知识，无法动态获取最新信息。为了解决这一问题，RAG（检索增强生成，Retrieval-Augmented Generation）应运而生，它结合了信息检索（IR）与文本生成（NLG）技术，使得 AI 可以利用外部...

Nov 12, 2024 · Discover how Retrieval-Augmented Generation (RAG) is transforming AI by combining data retrieval with language generation, delivering smarter and more...

Feb 13, 2025 · RAG, which stands for Retrieval-Augmented Generation, was initially introduced by researchers at Facebook in their paper. It is an AI framework that merges the advantages of traditional information retrieval systems (such as search engines and databases) with the capabilities of generative models, like Large Language Models ( LLMs ).

Jan 31, 2025 · Retrieval-augmented generation is a technique for enhancing the accuracy and reliability of generative AI models with information fetched from specific and relevant data sources. In other words, it fills a gap in how LLMs work. Under the hood, LLMs are neural networks, typically measured by how many parameters they contain.

Retrieval-augmented generation (RAG) is an AI technique that combines a retrieval model with a generative model. It retrieves related information from a database or document set and uses it to generate more accurate and contextually relevant responses.

Apr 3, 2025 · Retrieval-Augmented Generation (RAG) is an advanced AI framework that combines retrieval-based learning with generative AI models to enhance the accuracy and relevance of AI-generated content. Unlike traditional generative AI models that rely solely on their pre-trained knowledge, RAG AI retrieves relevant data from external sources such as: ...

4 days ago · Today we’re excited to announce AutoRAG in open beta, a fully managed Retrieval-Augmented Generation (RAG) pipeline powered by Cloudflare, designed to simplify how developers integrate context-aware AI into their applications.RAG is a method that improves the accuracy of AI responses by retrieving information from your own data, and providing it to the large language model (LLM) to generate ...