Create AI-Ready Vector Datasets for LLMs with Bright Data, Gemini & Pinecone

Automated workflow: Create AI-Ready Vector Datasets for LLMs with Bright Data, Gemini & Pinecone. This workflow integrates 14 different services: stickyNote, vectorStorePinecone, embeddingsGoogleGemini, httpRequest, textSplitterRecursiveCharacterTextSplitter. It contains 31 nodes and follows best practices for error handling and security.

Integrations Used (1)

Workflow Structure (16 nodes)
100%
Manual Trigger
When clicking ‘Test workflow’
Set
Set Fields - URL and Webhook URL
No Op
Structured JSON Data Formatter
Http Request
Webhook for structured data
Http Request
Webhook for structured AI agent response
Http Request
Make a web request
No Op
Information Extractor with Data Formatter
No Op
Google Gemini Chat Model2
No Op
Google Gemini Chat Model
No Op
AI Agent
No Op
Google Gemini Chat Model1
No Op
Structured Output Parser
No Op
Embeddings Google Gemini
No Op
Pinecone Vector Store
No Op
Default Data Loader
No Op
Recursive Character Text Splitter
Node Types:
trigger
default
transform
http
Requires credentials

Prerequisites

Required Credentials (3)

Google Palm

Used by: Embeddings Google Gemini, Google Gemini Chat Model1 +2 more

Docs

HTTP Header Auth

Used by: Make a web request

Docs

Pinecone

Used by: Pinecone Vector Store

Docs

Multiple services required

This workflow needs 3 different credentials. Make sure you have accounts for all services before importing.

Complexity

Complex

Advanced features used. Requires n8n experience.

Setup time: ~40 min
Score: 51/100

When to Use This Workflow

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Time Savings

Replace repetitive manual tasks with reliable automation.

Reclaim hours every week for higher-value work.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json
{
  "id": "3Lih0LVosR8dZbla",
  "meta": {
    "instanceId": "workflow-2df76d89",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:49.316470",
    "updatedAt": "2025-09-29T07:07:49.316519",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "Create AI-Ready Vector Datasets for LLMs with Bright Data, Gemini & Pinecone",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
...

Workflow Details

Nodes
21
Trigger
Manual
Source
community
Added
Sep 29, 2025

Need Help?

Check out the official n8n documentation for detailed guides.

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