SocialAI-tianji/Tianji resource

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1822 stars · 157 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Tianji is an open-source Chinese-language LLM application and tutorial project focused on social nuance ('renqing shigu') scenarios, covering prompt engineering, RAG knowledge bases, agents, and model fine-tuning. It ships datasets, fine-tuning code (LoRA/full fine-tuning on Qwen and similar models), and step-by-step lessons for building full-stack LLM applications.

Use cases

• learn llm development from scratch
• fine-tune a chinese chat model with lora
• build a rag knowledge base chatbot
• learn prompt engineering
• create domain-specific finetuning datasets
• build llm agents with tool calling
• generate culturally appropriate chinese greetings and messages

When to choose

• you want a hands-on end-to-end LLM tutorial covering prompts, RAG, agents, and fine-tuning
• you need Chinese social-context corpora and fine-tuned models like the wish-generating models
• you want to practice with Qwen, ChatGPT, DeepSeek, and other Chinese/online LLMs

When to avoid

• you need a production-ready commercial chatbot rather than educational code
• your use case has no Chinese-language or social-etiquette component
• you only need a single component like a standalone RAG framework

Facets

learning-resource · maturity active

prompt-engineering rag agent-framework llm-training llm-inference chatbot data-generation large-language-models artificial-intelligence tutorials python cross-platform llm-tutorial finetuning chinese-social-context qwen langchain llamaindex lora education retrieval-augmented-generation ai-agents natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="SocialAI-tianji/Tianji")