Extract Context from Voice Notes with OpenRouter AI & Milvus for RAG
Automates extraction of key context from voice notes using AI to correct transcripts, structure facts, generate embeddings, and store in Milvus for RAG retrieval.
This n8n workflow processes incoming voice notes via webhook, extracting title, transcript, and timestamp. An AI agent powered by OpenRouter analyzes the transcript: correcting speech-to-text errors, converting first-person speech to third-person facts, and filtering casual talk to focus on significant information. The structured output is formatted with timestamps, converted for embedding, and vectorized using OpenAI embeddings before storage in Milvus vector database.
Benefits include seamles
- Platform
- n8n
- Category
- Internet of Things
- Price
- $22.99
- Creator
- Maxim Luong
- n8n
- AI
- Voice Notes
- RAG
- Milvus
- OpenRouter
- OpenAI
- Vector DB
- Embeddings
- Webhook
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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