Tips for Building a RAG Pipeline with NVIDIA AI LangChain AI Endpoints – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-13T20:13:39Z http://www.open-lab.net/blog/feed/ Amit Bleiweiss <![CDATA[Tips for Building a RAG Pipeline with NVIDIA AI LangChain AI Endpoints]]> http://www.open-lab.net/blog/?p=81895 2025-03-11T16:19:32Z 2024-05-08T16:00:00Z Retrieval-augmented generation (RAG) is a technique that combines information retrieval with a set of carefully designed system prompts to provide more...]]> Retrieval-augmented generation (RAG) is a technique that combines information retrieval with a set of carefully designed system prompts to provide more...Decorative image of a RAG pipeline.

Retrieval-augmented generation (RAG) is a technique that combines information retrieval with a set of carefully designed system prompts to provide more accurate, up-to-date, and contextually relevant responses from large language models (LLMs). By incorporating data from various sources such as relational databases, unstructured document repositories, internet data streams, and media news feeds��

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