Argo : Easily build your own large language model. Exclusive intelligence, all locally.

Argo

Development & Tools Model Training & Deployment #Large Language Model #Local Deployment #Knowledge Management #Productivity Tool #AI Document Tool #API Integration Chinese Picks Paid

Overview :

Xark-Argo is a desktop client product designed to help users easily build and use their own large language models. It supports multiple operating systems, including MacOS and Windows, and provides powerful local model deployment capabilities. By integrating ollama technology, users can download open-source models with one click and support large model APIs such as ChatGPT, Claude, and Siliconflow, greatly reducing the barrier to entry. This product is suitable for individual and enterprise users who need to efficiently process text and manage knowledge, and it has high flexibility and scalability. Currently, there is no clear pricing information, but its functional positioning indicates that it may be aimed at the mid-to-high-end user group.

Target Users :

This product is suitable for individual and enterprise users who need to efficiently process text and manage knowledge, especially those with high requirements for data security and privacy. It helps users quickly deploy and use large language models, improves work efficiency, and supports local deployment to ensure data does not leak. In addition, its extensible tool plugin functionality provides developers with more possibilities, allowing them to customize and extend model capabilities according to their own needs.

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Use Cases

Individual users can use this product to build their own writing assistants to quickly generate articles, reports, and other text content.

Enterprises can import internal documents into the knowledge base and quickly obtain information by conversing with the knowledge base, improving work efficiency.

Developers can use the extensible tool plugin function to integrate the model with their own applications to achieve more powerful functions.

Features

Custom Models: Integrated ollama supports localized models, one-click download of open-source models, and support for large model APIs, lowering the barrier to entry.

RAG Knowledge Base: Supports multiple file types (pdf, docx, md, csv, txt, json, etc.), allows conversation with single documents or entire knowledge bases, and supports automatic folder synchronization.

Extensible Tool Plugins: Supports configuring restful APIs to implement function calls, integrating more powerful capabilities into large models, and providing rich API service integration and calls (to be opened soon).

Multi-platform Support: Provides download versions for MacOS and Windows (x64) to meet the needs of different users.

Local Deployment: Users can build and run models locally to ensure data security and privacy.

How to Use

1. Visit the official website and select the client for MacOS or Windows (x64) based on your operating system.

2. After installation, launch the client and log in (if necessary).

3. Select a custom model in the client, download open-source models via integrated ollama with one click, or configure your own model.

4. Import the files or knowledge base that need to be managed into the RAG knowledge base, supporting multiple file formats.

5. Achieve the required functions, such as text generation and knowledge retrieval, by conversing with the knowledge base or calling the API interface.