Automated Notion Content Embedding in Pinecone

This workflow automates the process of extracting, summarizing, and embedding Notion page content into a Pinecone vector database for efficient retrieval and search. Triggered when a new Notion page is added, it retrieves the page content, filters out non-text content, summarizes the text, generates embeddings using Google Gemini, and stores the embedded vectors in Pinecone. This setup is ideal for creating a searchable knowledge base or enhancing AI-powered content retrieval systems.