Tianrang Xiaobai LLM APP Stack is a full-stack enterprise platform for researching, building, and operating applications based on large language models. Developers can create and test prompts, configure retrieval-augmented generation and agent flows, and integrate selected model capabilities into other applications or services. The environment connects to multiple model providers and also includes model evaluation, application templates, and operational tooling.
It is designed for enterprise development teams and technical practitioners adapting language models to specific business processes, including conversational, generative, RAG, and workflow applications. A conversational app can connect to a private knowledge base and define an opening message and multi-turn behavior, while APIs support integration with external systems; private deployment and customization are offered through an enterprise-service process. Use requires registration and the relevant model, data, or knowledge resources, and deployed applications still require ongoing evaluation, monitoring, and maintenance.