Leveraging retrieval-augmented generation (RAG), TensorRT-LLM, and RTX acceleration, you can query a custom chatbot to quickly get contextually relevant answers. And because it all runs locally on your Windows RTX PC or workstation, you'll get fast and secure results.
Features
Chat With Your Files
ChatRTX supports various file formats, including text, pdf, doc/docx, and xml. Simply point the application at the folder containing your files and it'll load them into the library in a matter of seconds.
Chat for Developers
The ChatRTX tech demo is built from the TensorRT-LLM RAG developer reference project available from GitHub. Developers can use that reference to develop and deploy their own RAG-based applications for RTX, accelerated by TensorRT-LLM.
Ask Me Anything
ChatRTX 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 ChatRTX 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 at the folder containing these files, and the tool will load them into its library in just seconds.
Users can also include information from YouTube videos and playlists. Adding a video URL to ChatRTX allows users to integrate this knowledge into their chatbot for contextual queries. For example, ask for travel recommendations based on content from favorite influencer videos, or get quick tutorials and how-tos based on top educational resources.
Since ChatRTX 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, ChatRTX 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, ChatRTX requires Windows 11, and the latest Nvidia GPU drivers.
ChatRTX can integrate knowledge from YouTube videos into queries.
System Requirements
- Windows 11
- GPU: Nvidia GeForce RTX 30 or 40 Series GPU or Nvidia RTX Ampere or Ada Generation GPU with at least 8GB of VRAM
- RAM: 16GB or greater
- Driver: 535.11 or later
