天壤小白

Full-stack development platform...

4.0| Editor Rating

上海天壤智能科技有限公司

Editor Review

Tianrang Xiaobai LLM App Stack is a relatively comprehensive platform for large model application development, suitable for enterprises or developers with some technical capabilities. It supports the integration of multiple mainstream models, prompt development, RAG, and AI Agent features, which can meet application needs in various scenarios. However, the official site provides vague descriptions on some functional details, such as the specific methods of model evaluation, API integration limitations, and deployment processes. It is recommended that users consult the official team for more detailed information before use. Overall, the platform performs well in tool integration and development efficiency, and I recommend it with four stars.

AI Tools Navigator Editorial TeamUpdated: 2026-08-19

What is 天壤小白

Tianrang Xiaobai LLM App Stack is a full-stack development platform for large model applications, specifically designed for enterprises. It provides a complete set of tools for model selection, prompt development, application building, and deployment. The platform supports multiple mainstream large language models, including Baidu's ERNIE Bot, Baichuan, iFLYTEK SPARK, Meta's LIama2, Tencent's Hunyuan, Minimax, Huawei's PanGu, and Alibaba's Qwen. Users can choose the most suitable model for their needs. It also features Retrieval-Augmented Generation (RAG), enabling users to retrieve relevant information from large data sets to enhance model responses. The platform includes an AI Agent module that can personalize user query processing to improve interaction efficiency. Developers can integrate large model capabilities into other applications via APIs, and the app market provides a variety of templates to inspire development. The platform emphasizes stability, reliability, and security, with certifications such as Shanghai AI Industry Association membership, Zero Bay innovation leader, and information security system management certification. It currently supports enterprise-level solutions, including API calls, usage-based billing, private deployment, and customized services.

More AI Frameworks tools →

Basic Info

Category:,

Company:上海天壤智能科技有限公司

Best For

Other

Difficulty: Beginner Friendly

天壤小白 Key Features

Prompt Integration Development Environment
The platform provides an integrated prompt development environment where developers can easily create, edit, and test prompts for large language models. This environment helps optimize model inputs to improve the relevance and accuracy of outputs. It supports multiple prompt formats and structures, making it suitable for various application scenarios.
Retrieval-Augmented Generation (RAG)
The platform includes Retrieval-Augmented Generation (RAG) functionality, allowing developers to retrieve relevant information from large data sets and use it to enhance the quality of model responses. This feature is suitable for scenarios requiring external knowledge integration, such as querying internal company documents or industry data consolidation.
AI Agent
The AI Agent module allows developers to build applications capable of handling complex user interaction logic. It supports custom dialogue processes, multi-turn conversation management, and personalized responses, making it suitable for highly interactive scenarios such as customer service chatbots and AI assistants.
Large Model Operations Management
The platform provides deployment, monitoring, and maintenance functions for large models, helping developers efficiently manage model operations in production environments. Users can view real-time performance metrics, analyze logs, and adjust model configurations based on their needs.

天壤小白 Key Advantages

Provides access to multiple mainstream large models, making it easier for developers to choose the most suitable model for application development.
Includes an integrated prompt development environment, simplifying the optimization process of model inputs.
Supports private deployment and customized services, meeting the personalized needs of enterprises.

天壤小白 Use Cases

Dialogue-based Application Development
The platform supports the development of industry-specific dialogue bots. Users can link private knowledge bases, customize dialogue greetings, and implement multi-turn conversation management. This enables enterprises to quickly create intelligent customer service or interactive applications tailored to their business needs.
Generation-based Application Development
Using the RAG feature, developers can build generation-based applications that integrate external data, such as intelligent document generation, content summarization, and data reports. These applications can combine user input with external information to generate more accurate and demand-specific content.
Workflow-based Application Development
The platform supports the development of complex workflow applications that connect multiple models and functional modules to automate task processing. For example, developers can integrate prompt generation, model inference, and data retrieval steps into a single workflow, improving overall efficiency.

Frequently Asked Questions

Does Tianrang Xiaobai support private deployment?▼

According to the official website, Tianrang Xiaobai supports private deployment and various customized services. Enterprises can choose to deploy the platform on their local servers based on their needs to ensure data security and application customization. However, the specific deployment process and cost standards are not detailed on the official site.

Does the platform provide model evaluation features?▼

The official site mentions that the platform includes a comprehensive multi-model evaluation system, but does not specify the evaluation metrics or methods. Users can compare and select different models based on this system, but the usage of the evaluation features and whether they require additional payment are still unclear.

Can Tianrang Xiaobai be integrated into existing systems?▼

The official site states that the platform supports API integration, allowing the functions of large language models to be embedded into other applications or services. However, details about the API documentation, call frequency limits, and whether additional authorization is required are not provided on the site, and may require further confirmation by contacting customer service.