Automate YouTube Transcript Processing and Indexing with Apify, OpenAI, and Pinecone
This workflow automates the process of fetching YouTube video transcripts, processing them into semantic chunks, and indexing them in a Pinecone vector database for efficient retrieval.
The workflow integrates multiple services to streamline the handling of YouTube video transcripts. It starts by retrieving video metadata from Airtable, then uses Apify to scrape transcripts. These transcripts are processed into semantic chunks, enriched with metadata, and converted into vector embeddings using OpenAI. Finally, the embeddings are indexed in Pinecone, enabling efficient semantic searches.
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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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