What is RAG? - Retrieval-Augmented Generation AI Explained
Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside of its training data …
RAG and generative AI - Azure AI Search | Microsoft Learn
2024年9月3日 · Learn how generative AI and retrieval augmented generation (RAG) patterns are used in Azure AI Search solutions.
What is Retrieval-Augmented Generation (RAG) - GeeksforGeeks
2024年6月11日 · The retrieval-augmented generation (RAG) approach helps solve several challenges in natural language processing (NLP) and AI applications: Access to Custom Data: …
What is retrieval-augmented generation (RAG)? - IBM Research
2023年8月22日 · Retrieval-augmented generation (RAG) is an AI framework for improving the quality of LLM-generated responses by grounding the model on external sources of knowledge …
What is RAG (retrieval augmented generation)? - IBM
Retrieval augmented generation (RAG) is an architecture for optimizing the performance of an artificial intelligence (AI) model by connecting it with external knowledge bases. RAG helps …
Retrieval-augmented generation - Wikipedia
Retrieval Augmented Generation (RAG) is a technique that grants generative artificial intelligence models information retrieval capabilities. It modifies interactions with a large language model …
What Is Retrieval-Augmented Generation, aka RAG? - NVIDIA Blog
2024年11月18日 · Retrieval-augmented generation (RAG) is a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources. In …
What is RAG (retrieval augmented generation)? - Elastic
Dig into retrieval augmented generation (RAG) and how this approach can link your proprietary, real-time data to generative AI models for better end-user experiences and accuracy. So, what …
What is retrieval-augmented generation (RAG)? - McKinsey
2024年10月30日 · In this McKinsey Explainer, we look at what retrieval augmented generation is and why RAG technology is dramatically changing the way AI works.
Designing and developing a RAG solution - learn.microsoft.com
The Retrieval-Augmented Generation (RAG) pattern is an industry standard approach to building applications that use large language models to reason over specific or proprietary data that is …
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