Interesting NVIDIA blog post on Retrieval-Augmented Generation (RAG). NVIDIA emphasises how its AI frameworks, such as NeMo and Triton, facilitate the adoption of RAG. These platforms provide prebuilt tools to streamline deployment, particularly for enterprises aiming to leverage generative AI at scale.

https://blogs.nvidia.com/blog/what-is-retrieval-augmented-generation

What is Rag? Here is a quick definition:

Retrieval-Augmented Generation (RAG) combines generative models with information retrieval to craft highly specific and contextually accurate responses. It works by retrieving relevant documents or knowledge snippets from a database (if GraphRAG it uses Graph databases) to feed into a large language model (LLM), enhancing its output with real-time and precise information.