How to Use NVIDIA Chat with RTX?

Introduction

As technology advances, protecting our privacy becomes increasingly vital. Traditional AI chat options often raise concerns due to their reliance on cloud-based processing. However, NVIDIA’s Chat with RTX introduces a pioneering solution. This cutting-edge application allows users to develop their own AI chatbot directly on their PC, ensuring complete control and security. Unlike its counterparts, Chat with RTX operates offline, safeguarding your conversations and data from external threats. By prioritizing user privacy through local processing, it eliminates the risks associated with cloud-based services. Chat with RTX is a secure alternative that is easily accessible and free, making it a game-changer in the AI chat landscape.

Discover more about this revolutionary tool and know how to install it for yourself.

What is Chat with RTX?

Introducing an innovative application from NVIDIA that revolutionizes your chat experience. This new app lets you deploy your AI chatbot directly on your PC. Its ability to operate locally sets it apart, ensuring privacy and speed. Plus, it works seamlessly offline, providing uninterrupted conversations without compromising your data security.

Features of NVIDIA Chat with RTX

Here are the features of NVIDIA Chat with RTX:

Runs locally on your PC

Chat with RTX operates entirely on your local PC ( CPU or windows pcs or mac or linux), ensuring your interactions and data remain private. This tool allows you to use an entire folder as a dataset, giving you the flexibility to ask questions and get insights based on its contents. It supports various file formats, including .txt, .pdf, and .doc, making it versatile for different documents you might want to analyze or query. This functionality enhances your ability to access and utilize information stored in your local files quickly.

Personalized Chatbot

Train the AI model on your own data like documents, notes, or emails for a custom chatbot experience.

Retrieval-Augmented Generation (RAG)

This allows Chat with RTX to find relevant information within your data and use it to answer your questions in context.

RTX Acceleration

Leverages the power of your NVIDIA RTX 4090 GPU to deliver faster performance.

Get Answers from YouTube

This innovative tool enhances your YouTube viewing experience by allowing you to delve deep into video content through its transcript analysis feature. Copy the URL of a YouTube video, paste it here, and pose any questions you have about the video’s content. Whether it’s a detailed explanation, a summary, or specific information, this tool can extract insights directly from the video’s transcript. Moreover, it’s not limited to single videos; you can leverage this capability with an entire YouTube playlist, turning a collection of videos into a comprehensive dataset for analysis. This feature empowers users to understand the content more deeply, making it an invaluable resource for learners, researchers, and the curious alike.

Choosing an AI Model

Currently, Chat with RTX offers a limited selection of AI models (likely based on RAG). You can choose your own open source AI model from Ilama or llama2 or Mistral. Mistral 7B is a popular choice. In the future, there might be more options for users to choose from depending on their specific needs.

LLMs on Your RTX PC: Build Your Own Apps!

NVIDIA’s Chat with RTX app demonstrates the exciting possibilities of using RTX GPUs to speed up Large Language Models (LLMs). This app is based on the open-source TensorRT-LLM RAG project on GitHub. Inspired by Chat with RTX, developers can leverage this project as a starting point to create and deploy their own Retrieval-Augmented Generation (RAG) applications. TensorRT-LLM optimization ensures these applications run lightning fast on RTX hardware.

Choosing a Dataset

Chat with RTX allows you to choose a folder on your PC as your dataset. This folder can contain various file formats like text documents, PDFs, and emails. You can choose from 3 types of datasets to use.

• Folder Path (local folders)
• YouTube URL (YouTube videos)
• AI model default (default chatbot)

Privacy

Chat with RTX offers an ideal solution for users who prioritize privacy while engaging with applications like ChatGPT. Since Chat with RTX runs locally, your data and conversations never leave your PC, ensuring greater privacy.

How Does it Work?

Here’s a more detailed explanation of how NVIDIA Chat with RTX works, diving deeper into each stage:

Data Preparation and Indexing

You select a folder on your PC containing your data. Chat with RTX can handle various file formats like text documents (TXT, DOCX), PDFs, emails, and potentially even code files.

Once you select the folder, Chat with RTX goes through a process called indexing. This involves:

• Text Extraction: It extracts the actual text content from your documents.
• Preprocessing: The extracted text might undergo some cleaning, like removing punctuation or converting everything to lowercase.
• Tokenization: It breaks down the text into smaller units called tokens, which are usually individual words.
• Building an Index: Chat with RTX creates an index that allows it to quickly locate relevant information within your data based on keywords or phrases.

Large Language Model (LLM)

Chat with RTX utilizes a pre-trained LLM, likely based on the GPT (Generative Pre-training Transformer) architecture. This LLM is essentially a massive neural network trained on a vast amount of text data. It can understand the relationships between words, generate different creative text formats, and answer your questions in a comprehensive way.

However, this LLM’s knowledge is general. Chat with RTX personalizes it for your specific needs.

Retrieval-Augmented Generation (RAG)

This is where Chat with RTX goes beyond a typical LLM chatbot. RAG combines two key functionalities:

• Retrieval: When you ask a question, RAG utilizes the LLM to understand the intent behind your question and identify relevant keywords or phrases. It then uses these keywords to search the index it built from your data.
• Augmented Generation: Once RAG retrieves potentially relevant passages from your data, it feeds them back to the LLM. The LLM then uses this retrieved information to “augment” its general knowledge and craft a response specifically tailored to your question and your data.

RTX Acceleration (if applicable)

If you have an NVIDIA RTX 30 or 40 series GPU, Chat with RTX can leverage its processing power. These GPUs are specifically designed for tasks involving large amounts of data and complex calculations, like those required by LLMs.

By utilizing the RTX GPU, Chat with RTX can perform the LLM’s tasks and RAG’s information retrieval significantly faster. This translates to quicker response times and smoother interaction with the chatbot.

Local Processing and Security

Unlike many cloud-based chatbots, Chat with RTX operates entirely on your local machine. This means:

• Privacy: Your data never leaves your PC. The indexing process, LLM functionalities, and all communication happen within your device, ensuring your information stays private.
• Security: Since everything is local, there’s no risk of data breaches or unauthorized access through external servers.

How to Install NVIDIA ChatRTX?

Installing NVIDIA Chat with RTX can be a bit trickier than usual due to its current state as a tech demo application. Here’s a breakdown of the process:

Things to Know Before Installation

System Requirements and Specs: You’ll need a beefy system to run Chat with RTX effectively. This includes an NVIDIA GeforceThere aren’t currently GPUs specifically designed for local AI that differ significantly from gaming GPUs. However, some options might be a better fit:

• Lower-powered RTX GPUs: Consider NVIDIA RTX 3050 or 3060 series for decent AI performance with lower power consumption compared to high-end models.
• AI accelerators: Explore options like Intel Movidius Myriad X VPU or Google Edge TPU for specific AI workloads, often requiring less power than standard GPUs. Nvidia geforce RTX 30 or 40 series NVIDIA GPU with at least 8GB of VRAM, 16GB of system RAM, 100GB of disk space, and Windows 10 or windows 11.

Download Size: The installer is a large compressed folder (around 35GB) so be prepared for a lengthy download depending on your internet speed.

Installation Steps

• Download the Installer: Head over to the official NVIDIA website (specific URL might change, so a search for “Download Chat with RTX” would be best). There, locate the download for Chat with RTX and download the compressed folder.
• Extract the Folder: Once downloaded, right-click on the compressed folder and choose “Extract All.”
• Installation: Navigate to the extracted folder and locate the “setup.exe” file. Double-click it to begin the installation process.
• Installation Directory: During installation, it’s crucial to use the default installation directory. NVIDIA has identified an issue where using a custom directory can cause the installation to fail. The default location is typically “C:\Users\<username>\AppData\Local\NVIDIA\ChatWithRTX”.
• Follow the on-screen instructions to complete the installation.

Benefits of Chat with RTX

• Privacy: Since Chat with RTX runs locally on your device, your data never leaves your PC. This ensures a high level of privacy compared to cloud-based chatbots that require sending your data to servers.
• Security: Local processing minimizes the risk of unauthorized access to your data and gives you more control over its security.
• Speed: 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. The power of NVIDIA RTX GPUs accelerates the LLM and RAG tasks, resulting in faster response times and smoother performance.
• Personalization: Train Chat with RTX on your own data, creating a custom chatbot experience tailored to your specific needs and information.
• Offline Functionality: Potentially use Chat with RTX even without an internet connection, as long as your data resides on the device.

Use Cases of Chat with RTX

• Research Assistant: Feed Chat with RTX your research papers, notes, and articles. You can then ask questions about your research or have it highlight key points and summarize findings.
• Personal Knowledge Base: Compile documents, emails, and financial records in a folder. Chat with RTX can then answer questions about your finances, track specific information, or help you find relevant documents.
• Student Companion: Train Chat with RTX on your lecture notes, textbooks, and class materials. Use it to answer questions about specific topics, clarify concepts, or summarize key points from your studies.
• Creative Brainstorming Partner: Provide Chat with RTX with creative writing prompts, story ideas, or different writing styles. Use it to spark new ideas, explore different creative directions, or get help with writer’s block.
• Code Review and Analysis: Train Chat with RTX on your coding projects and documentation. You can then use it to review code for potential errors, ask questions about specific functionalities, or get suggestions for improvement.

Conclusion

Chat with RTX marks a significant shift in Artificial Intelligence chat applications. By prioritizing user privacy and local processing, NVIDIA empowers users to take control of their conversations and data. This offline approach starkly contrasts traditional cloud-based solutions, which often raise security concerns. Whether you’re a privacy-conscious individual, a data enthusiast working with sensitive information, or simply someone who values having complete control over your AI experience, Chat with RTX offers a compelling alternative.

Furthermore, Chat with RTX boasts an impressive range of features that cater to diverse user needs.  The ability to leverage local processing power unlocks a world of possibilities, from running your own AI chatbot on your PC to extracting information from text documents, PDFs, and YouTube videos. The option to choose from different Generative AI models, such as the popular Mistral 7B, allows users to tailor the chat experience to their specific requirements. With its versatility, security, and ease of use, Chat with RTX is poised to become a game-changer in AI chat experiences. So, ditch the cloud-based concerns and embrace the future of AI chat – download NVIDIA’s Chat with RTX today. It’s free, powerful, and under your complete control.

Frequently Asked Questions

Harshit Ahluwalia

Growth Hacker | Generative AI | LLMs | RAGs | FineTuning | 62K+ Followers https://www.linkedin.com/in/harshit-ahluwalia/ https://www.linkedin.com/in/harshit-ahluwalia/ https://www.linkedin.com/in/harshit-ahluwalia/