🚀 Process YouTube transcripts with Apify, OpenAI & Pinecone database
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 15 nodes and runs manually, when you click “Execute workflow”. Along the way it connects Airtable, Pinecone Vector Store and Embeddings OpenAI.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Airtable: uses Airtable
- Transcript Processor (Code): runs custom JavaScript code
- Pinecone Vector Store: uses the Pinecone vector store, with embeddings: Embeddings OpenAI; document loader: Default Data Loader
- Airtable: uses Airtable
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Apify NinjaPost (HTTP Request): calls an HTTP API
- Wait: pauses before continuing
- Get JSON TS (HTTP Request): calls an HTTP API
- JSON Stringifier (Code): runs custom JavaScript code
- Edit Fields (Edit Fields (Set)): sets or maps fields
…plus 1 more step. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (11)
- Airtable
n8n-nodes-base.airtable - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Wait
n8n-nodes-base.wait - HTTP Request
n8n-nodes-base.httpRequest - Code
n8n-nodes-base.code - Edit Fields (Set)
n8n-nodes-base.set - Pinecone Vector Store
@n8n/n8n-nodes-langchain.vectorStorePinecone - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Manual Trigger
n8n-nodes-base.manualTrigger - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Recursive Character Text Splitter
@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter
From the author
🚀 YouTube Transcript Indexing Backend for Pinecone 🎥💾 This tutorial explains how to build the backend workflow in n8n that indexes YouTube video transcripts into a Pinecone vector database. Note: This workflow handles the processing and indexing of…