AI
Notion to Pinecone Vector Store Integration
3,633 views in the n8n library
This n8n automation is designed to extract, process, and store content from Notion pages into a Pinecone vector store. Here's a breakdown of the workflow:
Notion - Page Added Trigger: The automation starts by monitoring for newly added pages in a specific Notion database. It triggers whenever a new page is created, capturing the page's metadata.
Notion - Retrieve Page Content: Once triggered, the automation fetches the full content of the newly added Notion page, including blocks like text, images, and videos.
Filter Non-Text Content: The next step filters out non-text content (such as images and videos), ensuring only textual content is processed.
Summarize - Concatenate Notion's blocks content: The remaining text content is concatenated into a single block of text for easier processing.
Token Splitter: The concatenated text is then split into manageable tokens, which are chunks of text that can be used for embedding.
Create metadata and load content: Metadata such as the page I
Scriflow generates and adapts n8n workflows with AI. This page is informational content to help you find the template; you can get the JSON file by opening it in the editor.