NVIDIA introduces Chat with RTX, a tech demo that lets users personalize a chatbot with their own content, accelerated by a local NVIDIA GeForce RTX 30 Series GPU or higher with at least 8GB of video random access memory, or VRAM. Chat with RTX uses retrieval-augmented generation (RAG), NVIDIA TensorRT-LLM software and NVIDIA RTX acceleration to bring generative AI capabilities to local, GeForce-powered Windows PCs. Users can quickly, easily connect local files on a PC as a dataset to an open-source large language model like Mistral or Llama 2, enabling queries for quick, contextually relevant answers.



Rather than searching through notes or saved content, users can simply type queries. For example, one could ask, “What was the restaurant my partner recommended while in Las Vegas?” and Chat with RTX will scan local files the user points it to and provide the answer with context.

The tool supports various file formats, including .txt, .pdf, .doc/.docx and .xml. Point the application to the folder containing these files, and the tool will load them into its library in seconds.

Users can also include information from YouTube videos and playlists. Adding a video URL to Chat with RTX allows users to integrate this knowledge into their chatbot for contextual queries. For example, ask for travel recommendations based on content from favourite influencer videos, or get quick tutorials and how-tos based on top educational resources.

Since Chat with RTX runs locally on Windows RTX PCs and workstations, the provided results are fast — and the user’s data stays on the device. Rather than relying on cloud-based LLM services, Chat with RTX lets users process sensitive data on a local PC without the need to share it with a third party or have an internet connection.

In addition to a GeForce RTX 30 Series GPU or higher with a minimum 8GB of VRAM, Chat with RTX requires Windows 10 or 11, and the latest NVIDIA GPU drivers. Learn more about Chat with RTX.