Prod: Notion to Vector Store - Dimension 768

Automatically transform new Notion pages into searchable vectors within Pinecone, enhancing your knowledge management and AI applications. This productivity workflow connects Notion's "Page Added Trigger" to retrieve page content, which is then processed through a series of AI nodes including a Token Splitter, content filtering, and summarization to prepare it for embedding. Google Gemini's powerful embeddings convert the processed Notion content into a 768-dimension vector, which is then loaded into your Pinecone Vector Store along with relevant metadata. This is ideal for teams building AI-powered search, question-answering systems, or RAG (Retrieval Augmented Generation) applications that rely on up-to-date information from Notion, saving significant manual effort in data preparation and ensuring your AI models always have access to your latest organizational knowledge.

8 nodesmanual trigger148 views0 copiesProductivity

PineconeNotion

Workflow JSON

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How to Import This Workflow

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3Click Import from JSON and paste the copied workflow.

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