<![CDATA[Tourism destination information is often scattered across various unintegrated sources, making it difficult for visitors to obtain quick and accurate answers. This problem can be overcome by implementing chatbot technology that is capable of providing automated responses based on verified data. This study aims to implement a tourism information service chatbot using the open-source Flowise AI platform integrated with Google's Gemini Large Language Model (LLM). The system development method uses a waterfall approach, including analysis, design, implementation, testing, deployment, and maintenance. Tourism information data is converted into vector representations through GoogleGenerativeAI Embeddings and stored in a vector store. The question and answer process is carried out using Conversational Retrieval QA Chain to generate relevant responses based on source documents. Testing results show that the chatbot is capable of providing fast, accurate, and appropriate answers based on available data, covering historical information, facilities, rates, cuisine, routes, accommodations, and tourism regulations. The contribution of this research is to provide an AI-based digital solution that facilitates access to tourism information, enhances user experience, and supports efficient tourism destination promotion.]]>
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