This n8n workflow automates the process of handling user-submitted documents via a web form, performing content parsing, language translation, and embedding storage, and enabling intelligent chatbot interactions. Starting with a form trigger, users upload multiple files and provide their email. The workflow splits the files, uploads them for document parsing via an API, and checks the parsing status. Once parsed, the content is translated if necessary, structured, and stored in a vector database for future retrieval. The processed data feeds into an advanced AI chatbot, capable of answering user queries based on the uploaded documents. The workflow integrates several AI models, including Google Gemini and Mistral Cloud, to enhance language understanding, translation, and content analysis. Notifications, such as email summaries, are also sent to users, and the system supports dynamic, real-time interactions, making it ideal for automated documentation analysis, customer support, or knowledge management scenarios.
Automated Document Analysis and Chatbot Workflow
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainRetrievalQa, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsMistralCloud, @n8n/n8n-nodes-langchain.informationExtractor, @n8n/n8n-nodes-langchain.lmChatGoogleGemini, @n8n/n8n-nodes-langchain.retrieverVectorStore, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStorePinecone, aggregate, code, convertToFile, formTrigger, gmail, httpRequest, if, markdown, splitInBatches, stickyNote |
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