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README.md
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@@ -38,7 +38,7 @@ This Gradio application is a submission for the **Agentic Demo Track**. It showc
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I have always believed in the meaning of travel and am committed to making every journey full of personality and surprises.
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In the cold and lonely Finland, travel sharing in the community makes people feel companionship and warmth, connecting people's memories and explorations.
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Last week, I launched my **[Travel Map Community Website](www.tripersona.online)**, where community members can share their travel footprints. And now, I bring you **PersonaTrip Agent** — an intelligent travel assistant that not only plans personalized itineraries but also gains insights into travel trends from community data, injecting unprecedented intelligence and personalized experience into my Travel Map community! ✨
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By integrating the powerful large language model (**Anthropic Claude 3.5 Sonnet**), **LlamaIndex** retrieval-augmented generation (**RAG**) framework, **Gradio** interactive interface, **Cloudinary** image service, and **Hugging Face**'s **BAAI/bge-small-en-v1.5** embedding model, combined with Model Context Protocol (**MCP**) driven toolset, I have created this system that can deeply understand user intent through multimodal text and visual methods, and generate intelligent travel suggestions and insights using Travel Map database.
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I have always believed in the meaning of travel and am committed to making every journey full of personality and surprises.
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In the cold and lonely Finland, travel sharing in the community makes people feel companionship and warmth, connecting people's memories and explorations.
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Last week, I launched my **[Travel Map Community Website](https://www.tripersona.online/)**, where community members can share their travel footprints. And now, I bring you **PersonaTrip Agent** — an intelligent travel assistant that not only plans personalized itineraries but also gains insights into travel trends from community data, injecting unprecedented intelligence and personalized experience into my Travel Map community! ✨
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By integrating the powerful large language model (**Anthropic Claude 3.5 Sonnet**), **LlamaIndex** retrieval-augmented generation (**RAG**) framework, **Gradio** interactive interface, **Cloudinary** image service, and **Hugging Face**'s **BAAI/bge-small-en-v1.5** embedding model, combined with Model Context Protocol (**MCP**) driven toolset, I have created this system that can deeply understand user intent through multimodal text and visual methods, and generate intelligent travel suggestions and insights using Travel Map database.
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