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HR & IT Helpdesk Chatbot with Audio Transcription

by Felipe Bragaadapted from n8n official workflow galleryUpdated Aug 2026
RequiresAAI AgentDDefault Data LoaderEmbeddings OpenAIEmbeddings OpenAIHTTP RequestHTTP RequestOpenAIOpenAI Chat ModelOpenAI Chat ModelPostgres Chat MemoryPostgres Chat MemoryPostgres PGVector StorePostgres PGVector StoreRecursive Character Text SplitterRecursive Character Text SplitterTelegramTelegramVector Store Question Answer ToolVector Store Question Answer Tool
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MaWhen clicking ‘Test workflow’When clicking ‘…HRHTTP RequestEFExtract from FileExtract from Fi…VSCreate HR PoliciesCreate HR Polic…Embeddings OpenAIEmbeddings Open…DDDefault Data LoaderDefault Data Lo…TSRecursive Character Text SplitterRecursive Chara…Telegram TriggerSwVerify Message TypeVerify Message …OpenAITelegram1Unsupported Message TypeUnsupported Mes…AgAI AgentOpenAI Chat ModelOpenAI Chat Mod…MPPostgres Chat MemoryPostgres Chat M…TVAnswer questions with a vector storeAnswer question…VSPostgres PGVector StorePostgres PGVect…OpenAI Chat Model1OpenAI Chat Mod…Embeddings OpenAI1Embeddings Open…TelegramSeEdit Fields123456
1/5
FLOWS
STEPS · 6
Run manually by an operator

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 Message Capture: When an employee sends a message to the chatbot in WhatsApp or Telegram (text or audio), the chatbot captures the input. 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). 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. Response Delivery: The chatbot sends the final response back to the employee, whether the input was text or audio.

Tags

n8nreference-onlyagentdocument-default-data-loaderembeddings-open-ailm-chat-open-aimemory-postgres-chatopen-aitelegramtext-splitter-recursive-character-text-splittertool-vector-storevector-store-pgvector
Connects
AAI AgentDDefault Data LoaderembeddingsopenaiEmbeddings OpenAIWHTTP RequestOpenAIopenaichatmodelOpenAI Chat Model
CategoryAI Automation
Triggermanual
Complexityadvanced
Nodes21
AddedJan 19, 2025

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