rag-china-travel-ai-agent
This agent is designed to help users plan trips to China. It leverages a retrieval-augmented generation (RAG) approach, combining information retrieval with large language models to provide tailored travel recommendations. Users can ask questions about destinations, activities, and logistics, receiving comprehensive and contextually relevant answers. The agent is particularly useful for those unfamiliar with China or seeking detailed itineraries. It simplifies the travel planning process by synthesizing information from various sources. The system utilizes multiple language models to enhance the quality and diversity of responses. Ultimately, it aims to be a helpful and informative travel companion for exploring China.
Planning a trip to China can be overwhelming due to the vastness of the country and cultural differences. This agent solves that problem by providing a centralized, intelligent resource for travel information, saving users time and effort compared to manually researching multiple websites and guides.
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README
# rag-china-travel-ai-agent rag-china-travel-ai-agent ## Tech Stack - python - uv - Pydantic AI - ollama ## Requirement - install python (v3.14) ```zsh // install dependencies $ uv sync // ollama pull model $ ollama pull deepseek-v3.2:cloud $ ollama pull qwen3.5:2b $ ollama pull minimax-m2.5:cloud $ ollama pull kimi-k2-thinking:cloud // run in local $ uv run main.py // run in web $ uvicorn main:app --host 127.0.0.1 --port 7932 ``` ```zsh // copy .env file $ cp .env.sample .env ```
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