Prod: Notion to Vector Store - Dimension 768

This workflow is ideal for:

• Content Creators: Those who frequently add new pages to Notion and want to automatically process and store content efficiently.
• Data Analysts: Professionals needing to filter and summarize text data from Notion for insights.
• Developers: Individuals looking to integrate Notion with vector databases for better data retrieval and analysis.
• Businesses: Organizations that utilize Notion for documentation and want to enhance their data management capabilities.

This workflow addresses the challenge of managing and processing new content added to Notion. It automates the extraction, filtering, and storage of relevant text data, ensuring that non-text content (like images and videos) is excluded. The workflow also summarizes the content and stores it in a vector database, making it easier to search and retrieve information later.

1. Trigger: The workflow is manually triggered when a new page is added to a specified Notion database.
2. Retrieve Content: It retrieves all content from the newly added Notion page.
3. Filter Content: The workflow filters out non-text content, ensuring only relevant text data is processed.
4. Summarize: The remaining text content is concatenated into a single summary for easier handling.
5. Create Metadata: Metadata such as pageId, createdTime, and pageTitle is created to accompany the content.
6. Embed Content: The summarized content is embedded using Google Gemini for further processing.
7. Store in Vector Database: Finally, the processed content and its metadata are inserted into a Pinecone vector store for efficient retrieval.