AI Agents

Product: Idea to Shop Vector - Dimension 768

8 nodes 210 137 Automatic trigger
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Workflow Description

An automation template that transforms product ideas into searchable vector data. It captures product information from Notion, segments content into optimal chunks, generates intelligent summaries using Gemini, and stores embeddings in Pinecone for fast semantic search and discovery.

How it works

  1. 1.Trigger automation when a new product idea is added to Notion
  2. 2.Load product documents from the default data source
  3. 3.Split long-form text into optimized chunks using token-based splitting
  4. 4.Generate smart summaries and condensed descriptions via Gemini
  5. 5.Convert text segments into 768-dimensional vectors through Gemini Embeddings
  6. 6.Store vector representations and metadata in Pinecone for rapid retrieval

Use cases

  • Build a searchable product knowledge repository with semantic understanding and relevance ranking
  • Convert raw product concepts into structured, retrievable data for faster decision-making
  • Enable discovery of similar and related products through intelligent vector-based search

Requirements

  • Active Notion workspace with a product ideas or catalog database configured
  • Valid API credentials for Google Gemini and Pinecone vector database

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.

Apps Used

Text Splitter Notion Document Default Data Loader Gemini Vector Store

Details

Trigger Automatic trigger
Nodes 8
Apps 5
Views 210
Downloads 137

How to Use

  1. 1.Click "Download Template"
  2. 2.Open your n8n dashboard
  3. 3.Go to Workflows > Import from File
  4. 4.Select downloaded file and configure credentials

Nodes Used (8)

Token Splitter

Text Splitter Token Splitter

#1

Notion - Page Added Trigger

Notion

#2

Notion - Retrieve Page Content

Notion

#3

Filter Non-Text Content

Filter

#4

Summarize - Concatenate Notion's blocks content

Summarize

#5

Create metadata and load content

Document Default Data Loader

#6

Embeddings Google Gemini

Gemini Model

#7

Pinecone Vector Store

Vector Store Pinecone

#8