HR & IT Helpdesk Chatbot with Audio and Document Integration

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This n8n workflow creates an intelligent HR and IT helpdesk chatbot that leverages internal policy documents, audio transcription, and vector-based knowledge retrieval to provide accurate and context-aware support. The process starts by downloading internal policy PDFs, extracting their content, and transforming the text into vector embeddings stored in PostgreSQL. When employees send messages via Telegram, the workflow verifies whether the message is text or voice, transcribes voice messages, and interacts with an AI agent configured to retrieve relevant policy information from the vector store. The agent maintains conversation context with chat memory, ensuring coherent and personalized support. This setup is ideal for organizations seeking automated, reliable internal support systems combining document processing, voice recognition, and AI-powered responses.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryPostgresChat, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStorePGVector, extractFromFile, httpRequest, manualTrigger, set, stickyNote, switch, telegram, telegramTrigger

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