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Ask questions about past meetings using voice with OpenAI and Pinecone

Workflow preview

Ask questions about past meetings using voice with OpenAI and Pinecone preview
Open on n8n.io

Overview

📊 Description

This workflow allows users to ask questions about past meetings using their voice. It converts the voice question into text, searches stored meeting notes using Pinecone, and replies with a spoken answer generated by AI. It helps teams quickly recall decisions, tasks, and discussions without reading long meeting notes. 🧠🔊

🔁 What This Template Does

1️⃣ Receives a voice question through a webhook endpoint. 🌐 2️⃣ Converts the audio question into text using speech transcription. 🎤➡️📝 3️⃣ Cleans and prepares the question for searching. ✅ 4️⃣ Converts the question into an embedding for semantic search. 🔍 5️⃣ Searches relevant meeting notes from Pinecone using the team namespace. 📚 6️⃣ Combines retrieved meeting context into a single readable format. 🧩 7️⃣ Uses AI to answer the question strictly from the meeting context. 🤖 8️⃣ Converts the AI’s text answer into spoken audio. 🔊 9️⃣ Sends the audio response back to the user via webhook. 🔁

⭐ Key Benefits

✅ Allows hands-free access to meeting information ✅ Saves time searching through meeting notes ✅ Prevents AI hallucinations using RAG ✅ Supports multiple teams using namespaces ✅ Works with voice-based tools and assistants ✅ Improves meeting recall and clarity

🧩 Features

  • Voice-based question input
  • Speech-to-text transcription
  • Semantic search using Pinecone
  • Team-based data isolation
  • Context-aware AI responses
  • Text-to-speech output
  • Webhook-driven architecture

🔐 Requirements

  • OpenAI API key for transcription, embeddings, and speech generation
  • Azure OpenAI credentials for chat responses
  • Pinecone API key with a configured index
  • Matching embedding model for ingest and query
  • Webhook client capable of sending audio files

🎯 Target Audience

  • Teams that conduct frequent meetings
  • Managers needing quick decision recall
  • Remote and distributed teams
  • Product, engineering, and operations teams
  • Automation builders using n8n
  • Organizations adopting voice-based workflows