HR & IT helpdesk chatbot with audio transcription
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What to replace before upgrading
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (16)
- Manual Trigger
n8n-nodes-base.manualTrigger - HTTP Request
n8n-nodes-base.httpRequest - Extract from File
n8n-nodes-base.extractFromFile - Postgres PGVector Store
@n8n/n8n-nodes-langchain.vectorStorePGVector - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Recursive Character Text Splitter
@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter - Telegram Trigger
n8n-nodes-base.telegramTrigger - Switch
n8n-nodes-base.switch - OpenAI
@n8n/n8n-nodes-langchain.openAi - Telegram
n8n-nodes-base.telegram - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Postgres Chat Memory
@n8n/n8n-nodes-langchain.memoryPostgresChat - Vector Store Question Answer Tool
@n8n/n8n-nodes-langchain.toolVectorStore - Edit Fields (Set)
n8n-nodes-base.set
What it does
An intelligent chatbot that assists employees by answering common HR or IT questions, supporting both text and audio messages. This unique feature ensures employees can conveniently ask questions via voice messages, which are transcribed and processed just like text queries. --- How It Works 1. Message Capture: When an employee sends a message to the chatbot in WhatsApp or Telegram (text or audio), the chatbot captures the input. 2. Audio Transcription: For audio messages, the chatbot transcribes the content into text using an AI-powered transcription service (e.g., Whisper, Google Cloud Speech-to-Text). 3. Query Processing: - The transcribed text (or directly entered text) is sent to an AI service (e.g., OpenAI) to generate embeddings. - These embeddings are used to search a vector database (e.g., Supabase or Qdrant) containing the company’s internal HR and IT documentation. - The most relevant data is retrieved and sent back to the AI service to compose a concise and helpful response. 4. Response Delivery: The chatbot sends the final response back to the employee, whether the input was text or audio. --- Set Up Steps - Estimated Time: 20–25 minutes - Prerequisites: 1. Create an account with an AI provider (e.g., OpenAI). 2. Connect WhatsApp or Telegram credentials in n8n. 3. Set up a transcription service (e.g., Whisper or Google Cloud Speech-to-Text). 4. Configure a vector database (e.g., Supabase or Qdrant) and add your internal HR and IT documentation. 5. Import the workflow template into n8n and update environment variables for your credentials.