Use Cases
- 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.
How It Works
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.
Setup Steps
- 1Import the workflow template into your n8n instance.
- 2Connect your Notion account and specify the database ID.
- 3Set up Google Gemini credentials for embeddings.
- 4Configure Pinecone credentials for vector storage.
- 5Activate the workflow to start processing new Notion pages.
Apps Used
Notion
Google Gemini
Pinecone
Categories
Target Roles
Industries
Tags
#ai content generation
#text processing
#workflow management