Automate Context Extraction from Voice Notes Using AI and Milvus

The workflow begins with a webhook trigger that receives voice note data, including title, transcript, and timestamp. It processes the transcript through an AI agent to extract meaningful context, corrects transcription errors, and reformulates the text into third-person facts. The extracted context is then formatted, converted to a file, and embedded using OpenAI embeddings. Finally, the data is stored in a Milvus vector database for efficient retrieval in Retrieval-Augmented Generation applications.