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Description
ChatRTX is an innovative demo application that allows users to tailor a GPT large language model (LLM) to interact with their personal content, such as documents, notes, images, and other types of data. Utilizing advanced techniques like retrieval-augmented generation (RAG), TensorRT-LLM, and RTX acceleration, it enables users to query a customized chatbot for swift and contextually appropriate answers. The application operates locally on your Windows RTX PC or workstation, ensuring that you enjoy both rapid access and enhanced security for your information. ChatRTX is compatible with a wide range of file formats, including but not limited to text, PDF, doc/docx, JPG, PNG, GIF, and XML. Users can easily direct the application to the folder that contains their files, and it will efficiently load them into the library within seconds. Additionally, ChatRTX boasts an automatic speech recognition system powered by AI, which can interpret spoken language and deliver text responses in multiple languages. To initiate a conversation, all you need to do is click the microphone icon and start speaking to ChatRTX, making it a seamless and engaging experience that encourages interaction. Overall, this user-friendly application provides a powerful and versatile tool for managing and accessing personal data.
Description
Experience the power of localized and secure AI right on your desktop, providing you with in-depth insights while maintaining complete data security and privacy. Our innovative macOS-native application combines efficiency, privacy, and intelligence through its state-of-the-art AI functionalities. The RAG system is capable of tapping into data from a local knowledge base to enhance the capabilities of the large language model (LLM), allowing you to keep sensitive information on-site while improving the quality of responses generated by the model. To set up RAG locally, you begin by breaking down documents into smaller segments, encoding these segments into vectors, and storing them in a vector database for future use. This vectorized information will play a crucial role during retrieval operations. When a user submits a query, the system fetches the most pertinent segments from the local knowledge base, combining them with the original query to formulate an accurate response using the LLM. Additionally, we are pleased to offer individual users lifetime free access to our application. By prioritizing user privacy and data security, our solution stands out in a crowded market.
API Access
Has API
API Access
Has API
Integrations
Codestral Mamba
GitHub
Hugging Face
LangChain
Le Chat
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Integrations
Codestral Mamba
GitHub
Hugging Face
LangChain
Le Chat
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
www.nvidia.com/en-us/ai-on-rtx/chatrtx
Vendor Details
Company Name
Klee
Website
kleedesktop.com
Product Features
Chatbot
Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)