Voice Note Transcription and Knowledge Management Workflow

This n8n workflow automates the process of transcribing voice notes, extracting meaningful information, and storing it for easy retrieval and analysis. The process begins with a webhook trigger that receives audio data, which can be a voice note uploaded by a user. The workflow then utilizes language models and text splitters to process the transcription, generate embeddings, and store the data in a vector database (Weaviate). Additionally, it performs a retrieval-augmented generation (RAG) approach, enabling intelligent querying and contextual responses. Errors are monitored, and notifications are sent via Slack for quick troubleshooting. Ultimately, this workflow is ideal for applications such as voice-based documentation, knowledge bases, or customer service support, enhancing how voice data is captured, stored, and accessed.