Effortless Voice Note Transcription and Knowledge Management
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Transform your spoken words into actionable text. This workflow automatically transcribes voice notes, enriches them with AI-powered context, and stores them in a searchable knowledge base for instant retrieval.
About This Workflow
Never lose another brilliant idea or critical piece of information from your voice notes. This n8n workflow automates the entire process of voice note transcription. It begins by receiving audio input via a webhook, then intelligently splits the content for processing. Using advanced AI embeddings, it converts your transcribed notes into a format that can be searched and understood by machines. This data is then stored in a vector database (Weaviate), creating a powerful, context-aware knowledge base. An AI agent then leverages this knowledge, allowing for sophisticated querying and information retrieval, making your voice notes more valuable than ever before. It also logs the process status and sends alerts for any errors.
Key Features
- Automated Transcription: Convert spoken words into text seamlessly.
- Intelligent Chunking: Processes long audio inputs efficiently.
- AI-Powered Embeddings: Creates a rich, searchable knowledge base.
- Vector Database Integration: Leverages Weaviate for advanced data storage.
- RAG Agent for Queries: Enables intelligent retrieval of information from your voice notes.
- Automated Logging & Alerting: Tracks workflow status and notifies on errors.
How To Use
- Set up Webhook Trigger: Configure the 'Webhook Trigger' node with your desired path (e.g.,
voice-note-transcription) to receive incoming audio data. - Configure Text Splitter: Adjust
chunkSizeandchunkOverlapin the 'Text Splitter' node based on your expected audio input length and complexity. - Set up Embeddings: Connect your Cohere API credentials to the 'Embeddings' node and select the desired model.
- Configure Weaviate: Set up your Weaviate API credentials and specify the
indexNamefor both 'Weaviate Insert' and 'Weaviate Query' nodes. - Define AI Agent: Configure the 'Chat Model' and 'RAG Agent' nodes, including system messages and tool definitions to guide the AI's behavior.
- Connect Logging and Alerts: Ensure your Google Sheets and Slack API credentials are set up for the 'Append Sheet' and 'Slack Alert' nodes respectively, and adjust the target sheet and channel as needed.
Apps Used
Workflow JSON
{
"id": "3cb44b3b-092f-4074-9c7c-d69812fd4672",
"name": "Effortless Voice Note Transcription and Knowledge Management",
"nodes": 12,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 3cb44b3b-092f...
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