Automated Transcript Processing & Embedding with Pinecone

This n8n workflow streamlines the processing of transcripts for efficient storage, retrieval, and analysis. The workflow begins by retrieving data from Airtable, then processes each transcript batch by making API requests via Apify, and subsequently extracts JSON data. The transcripts are further processed to split text for better handling, formatted, and uploaded into Airtable. For advanced analysis, embeddings are generated using OpenAI and stored in Pinecone vector database, allowing for semantic search and similarity matching. Triggered manually, this setup is ideal for automating transcript management workflows, improving data indexing, and enabling smarter search capabilities in a WordPress environment or similar platform.