ChatRTX is a demo application that empowers users to personalize a GPT large language model (LLM) with their own content, such as documents, notes, or other data. This personalization is made possible through the utilization of retrieval-augmented generation (RAG), TensorRT-LLM, and RTX acceleration, enabling users to interact with a custom chatbot and receive contextually relevant answers swiftly and securely. The key advantage of ChatRTX is its local operation on Windows RTX PCs or workstations, ensuring fast and secure results without the need for cloud-based services, offering users greater control and privacy over their interactions with the chatbot.
ChatRTX offers support for a variety of file formats, including text, pdf, doc/docx, and xml. Users can load their files into the application’s library by simply pointing it to the folder containing their data, with files being loaded within a matter of seconds. This streamlined process allows for seamless integration of one’s own content, enabling the chatbot to provide personalized and relevant responses based on the user’s specific data.
Developers can leverage the ChatRTX tech demo, which is built from the TensorRT-LLM RAG developer reference project available from GitHub, to develop and deploy their own RAG-based applications for RTX, accelerated by TensorRT-LLM. This flexibility empowers developers to create customized chatbot applications tailored to specific needs and use cases, expanding the potential of AI-driven interactions in various domains. With the support of the NVIDIA GeForce™ RTX 30 or 40 Series GPU or NVIDIA RTX™ Ampere or Ada Generation GPU with at least 8GB of VRAM, along with 16GB of RAM or greater, and Windows 11 as the operating system, developers have the necessary tools to innovate and create impactful AI solutions.
