argo
Locally download and run Ollama and Huggingface models with RAG on Mac/Windows/Linux. Support LLM API too.
What is Argo
How to Use
Step 1: Installation
Download the appropriate installation package for your operating system from the official website and follow the prompts to complete installation.
Step 2: Setup
Launch the application, configure local model paths or add your DeepSeek API key, and customize preferences as needed.
Step 3: Model Management
Download and manage your preferred Ollama or Huggingface models, or configure connections to API services like DeepSeek.
Step 4: Start Chatting
Select the model you want to use, create a new conversation, and begin interacting with AI, leveraging RAG capabilities to enhance response quality.
Core Features
Local Model Execution
Run Ollama and Huggingface models directly on your local device, reducing latency and enhancing privacy protection.
Retrieval-Augmented Generation (RAG)
Significantly improve the accuracy and relevance of AI responses through integrated knowledge base and document analysis capabilities.
Multi-Model Support
Switch between models from different sources within the same interface, including both local models and cloud API models.
Document Processing
Analyze and process multiple file formats, extract information and integrate with AI conversations to enhance knowledge processing capabilities.
Cross-Platform Compatibility
Seamlessly supports Mac, Windows, and Linux systems, providing a consistent user experience.
Privacy-First Design
Local-first architecture ensures sensitive data never leaves your device, protecting user privacy and data security.
Integration Capabilities
Ollama Model Support
Complete integration with the Ollama ecosystem, supporting all its open-source models and optimizing local running performance.
Huggingface Model Compatibility
Direct access and utilization of open-source models from Huggingface, expanding the range of available models.
DeepSeek API Integration
Seamless connection to DeepSeek LLM services, providing high-performance cloud-based AI conversation capabilities.
Knowledge Base Construction
Create and manage custom knowledge bases, enhancing AI response accuracy and relevance through RAG technology.
LLM API Support
Flexible connection to various LLM API services, providing a unified access interface and user experience.
Open Architecture
Extensible design facilitates integration with other tools and workflows, supporting highly customized use cases.
FAQ
Q: Is Argo free to use?
A: Argo offers a free version, along with a paid professional version providing more advanced features. Using the DeepSeek API may require an API key and could incur costs according to their pricing policy.
Q: Do I need programming knowledge to use Argo?
A: No. Argo provides an intuitive user interface suitable for users of any technical level. Simply install and follow the setup prompts to get started.
Q: What languages does Argo support?
A: Argo supports all languages understood by its integrated models, including English and Chinese, with the interface primarily using these languages.
Q: Where is my conversation data stored?
A: When using local models, all conversation data is stored by default on your device. When using API models, data is sent to the respective service providers through API calls.
Q: How do I set up the local model environment?
A: Argo guides you through the local environment configuration process, including downloading necessary dependencies and setting up model storage locations. Simply follow the in-app guides.
Repository Data
Language Distribution
Based on repository file analysis
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