Automate Notion Page Embeddings to Pinecone Vector Store
This n8n workflow automates the extraction, processing, and storage of Notion page content into a Pinecone vector store, enabling efficient semantic search and AI-driven insights.
The workflow begins by monitoring a specified Notion database for newly added pages. Upon detection, it retrieves the full content of these pages, filters out non-text elements, and concatenates the remaining text. The text is then split into manageable tokens and processed to create embeddings using the Google Gemini model. Finally, these embeddings, along with metadata, are stored in a Pinecone vector store, making the data searchable and ready for advanced applications like document retrieval
Platform
n8n
Category
1a0ecd0b-8f44-4e88-aa57-bcc89cf161e1
Price
Free
Rating
4.6 out of 5 (94 reviews)
Downloads
4
Creator
Theo van der Berg
Production
filter
notion
summarize
notionTrigger
vectorStorePinecone
embeddingsGoogleGemini
documentDefaultDataLoader
textSplitterTokenSplitter
Automate Notion Page Embeddings to Pinecone Vector Store - n8n Workflow | Neura Market | Neura Market