Automate content extraction from Notion to Vector Store

• Automatically store new Notion content in a vector database for easy retrieval.
• Enhance content management workflows by filtering and summarizing text.
• Utilize AI embeddings for improved data analysis and search capabilities.

Triggers on new page additions in Notion. Retrieves the content of the added page. Filters out non-text content like images and videos. Concatenates and summarizes the text content. Embeds the summarized content using Google Gemini. Stores the embeddings in a Pinecone vector database.

1. 1
   Import the workflow template into your n8n instance.
2. 2
   Connect your Notion account and specify the database ID.
3. 3
   Set up Google Gemini credentials for embeddings.
4. 4
   Configure Pinecone credentials for vector storage.
5. 5
   Activate the workflow to start processing new Notion pages.