AlekSystem Workflow Detail

Ask questions about past meetings using voice with OpenAI and Pinecone Workflow Solution

Ask questions about past meetings using voice with OpenAI and Pinecone

📊 Description This workflow allows users to ask questions about past meetings using their voice.

Rank 58 Verified workflow

Workflow overview

Why this workflow matters

Improves internal consulting operations and productivity. Relevant for managed services and support workflows.

📊 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 AlekSystem Organizations adopting voice-based workflows

Best fit

Categories

AI/MLCommunicationDocument OpsProductivity

Services

AI AgentEmbeddings OpenAIPinecone Vector StoreOpenAIAzure OpenAI Chat Model

Use cases

support automationoperations productivity