This workflow automates the process of checking visa requirements based on input data, making it highly useful for travel agencies, immigration advisors, or citizens planning international travel. It begins with a Webhook trigger that receives user input, which is then processed through a series of steps involving text splitting, embedding generation, and vector store queries. The core of the workflow integrates natural language processing AI models to define, analyze, and generate relevant visa information. The results can be stored in a Google Sheet for record-keeping or further analysis. Key nodes include the Webhook for data collection, LangChain nodes for text processing, embedding creation, and conversational AI, and integration with Weaviate for vector similarity searches. This workflow provides a streamlined, automated method to deliver accurate and contextual visa requirements, enhancing user experience and operational efficiency.
Automated Visa Requirement Information System
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, googleSheets, stickyNote, webhook |
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