📖 Ask questions about past meetings using voice with OpenAI and Pinecone
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Description
📊 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
🔗 Nodes Used
Webhook, AI Agent, Embeddings OpenAI, Pinecone Vector Store, OpenAI, Azure OpenAI Chat Model
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File