Adyl Itto This workflow corresponds to n8n.io template #3184 — we link there as the canonical source.
This workflow follows the Airtable → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "Vlyhg8yXcCMMVq7k",
"name": "YT RAG Agent Backend Transcript-format-pineconeUpsert",
"tags": [],
"nodes": [
{
"id": "308ee339-14ae-4920-8830-0756440f06b3",
"name": "Airtable",
"type": "n8n-nodes-base.airtable",
"position": [
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],
"parameters": {},
"typeVersion": 2.1
},
{
"id": "4a0324d8-27a0-468b-9a37-d7297c419cc0",
"name": "Loop Over Items",
"type": "n8n-nodes-base.splitInBatches",
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],
"parameters": {},
"typeVersion": 3
},
{
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"type": "n8n-nodes-base.airtable",
"onError": "continueErrorOutput",
"position": [
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],
"parameters": {},
"typeVersion": 2.1,
"alwaysOutputData": true
},
{
"id": "f1e16621-7642-42df-baff-fa943f5ec7f9",
"name": "Wait",
"type": "n8n-nodes-base.wait",
"position": [
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],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "2a17f4a3-91be-465d-9318-f889b87b47ca",
"name": "Apify NinjaPost",
"type": "n8n-nodes-base.httpRequest",
"position": [
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],
"parameters": {},
"typeVersion": 4.2
},
{
"id": "a3071928-a592-4f26-a548-ac52cfb18ca6",
"name": "Get JSON TS",
"type": "n8n-nodes-base.httpRequest",
"position": [
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],
"parameters": {},
"typeVersion": 4.2,
"alwaysOutputData": true
},
{
"id": "9216991d-e5de-4681-bab0-c20ddd00c77c",
"name": "JSON Stringifier",
"type": "n8n-nodes-base.code",
"position": [
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],
"parameters": {},
"typeVersion": 2
},
{
"id": "90db5c4e-e23e-4101-8465-10bbb686b658",
"name": "Edit Fields",
"type": "n8n-nodes-base.set",
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"parameters": {},
"typeVersion": 3.4
},
{
"id": "c04e0167-8104-4149-8b81-09ebe7957e91",
"name": "Airtable2",
"type": "n8n-nodes-base.airtable",
"position": [
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],
"parameters": {},
"typeVersion": 2.1
},
{
"id": "b5132329-2385-4fb9-8d8a-ce838974c189",
"name": "Pinecone Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
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],
"parameters": {},
"typeVersion": 1
},
{
"id": "4c68d784-d86e-4f87-ad72-b2085cb998a1",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
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],
"parameters": {},
"typeVersion": 1.2
},
{
"id": "6f641b5d-5716-4283-bd09-2bb746e41939",
"name": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
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],
"parameters": {},
"typeVersion": 1
},
{
"id": "6ed623e3-0256-44ba-b3d2-c74ea7f38399",
"name": "Transcript Processor",
"type": "n8n-nodes-base.code",
"position": [
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],
"parameters": {},
"typeVersion": 2
},
{
"id": "5f77e165-4288-4e40-a381-23d2ef409752",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
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],
"parameters": {},
"typeVersion": 1
},
{
"id": "50495550-405a-4ab5-aa1c-dbd5731fa3f1",
"name": "Recursive Character Text Splitter1",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
540,
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],
"parameters": {},
"typeVersion": 1
},
{
"id": "aafb300a-7311-43a2-8bbe-67dfabfec313",
"name": "Installation Tutorial",
"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"content": ""
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "89526f4d-4135-4cc1-87bc-4fcbf0bc213e",
"connections": {
"Wait": {
"main": [
[
{
"node": "Get JSON TS",
"type": "main",
"index": 0
}
]
]
},
"Airtable": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Airtable1": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
],
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Airtable2": {
"main": [
[
{
"node": "Transcript Processor",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Airtable1",
"type": "main",
"index": 0
}
]
]
},
"Get JSON TS": {
"main": [
[
{
"node": "JSON Stringifier",
"type": "main",
"index": 0
}
]
]
},
"Apify NinjaPost": {
"main": [
[
{
"node": "Wait",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[],
[
{
"node": "Apify NinjaPost",
"type": "main",
"index": 0
}
]
]
},
"JSON Stringifier": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Pinecone Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Pinecone Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Transcript Processor": {
"main": [
[
{
"node": "Pinecone Vector Store",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "Airtable2",
"type": "main",
"index": 0
}
]
]
},
"Recursive Character Text Splitter1": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
}
}
}
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About this workflow
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 transcripts only—the retrieval agent (which searches these embeddings) is…
Source: https://n8n.io/workflows/3184/ — original creator credit. Request a take-down →
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