Store Notion's Pages as Vector Documents into Supabase with OpenAI

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  "name": "Store Notion's Pages as Vector Documents into Supabase with OpenAI",
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  "nodes": [
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        "content": "## Store Notion's Pages as Vector Documents into Supabase

**This workflow assumes you have a Supabase project with a table that has a vector column. If you don't have it, follow the instructions here:** [Supabase Vector Columns Guide](https://supabase.com/docs/guides/ai/vector-columns)

## Workflow Description

This workflow automates the process of storing Notion pages as vector documents in a Supabase database with a vector column. The steps are as follows:

1. **Notion Page Added Trigger**:
 - Monitors a specified Notion database for newly added pages. You can create a specific Notion database where you copy the pages you want to store in Supabase.
 - Node: `Page Added in Notion Database`

2. **Retrieve Page Content**:
 - Fetches all block content from the newly added Notion page.
 - Node: `Get Blocks Content`

3. **Filter Non-Text Content**:
 - Excludes blocks of type \"image\" and \"video\" to focus on textual content.
 - Node: `Filter - Exclude Media Content`

4. **Summarize Content**:
 - Concatenates the Notion blocks content to create a single text for embedding.
 - Node: `Summarize - Concatenate Notion's blocks content`

5. **Store in Supabase**:
 - Stores the processed documents and their embeddings into a Supabase table with a vector column.
 - Node: `Store Documents in Supabase`

6. **Generate Embeddings**:
 - Utilizes OpenAI's API to generate embeddings for the textual content.
 - Node: `Generate Text Embeddings`


7. **Create Metadata and Load Content**:
 - Loads the block content and creates associated metadata, such as page ID and block ID.
 - Node: `Load Block Content & Create Metadata`

8. **Split Content into Chunks**:
 - Divides the text into smaller chunks for easier processing and embedding generation.
 - Node: `Token Splitter`



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        "operation": "getAll",
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      "type": "n8n-nodes-base.filter",
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      "parameters": {
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        "conditions": {
          "options": {
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            "caseSensitive": true,
            "typeValidation": "strict"
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          "combinator": "and",
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              "operator": {
                "type": "string",
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              "leftValue": "={{ $json.type }}",
              "rightValue": "image"
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      "name": "Summarize - Concatenate Notion's blocks content",
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        "fieldsToSummarize": {
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              "separateBy": "
",
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          "metadata": {
            "metadataValues": [
              {
                "name": "pageId",
                "value": "={{ $('Notion - Page Added Trigger').item.json.id }}"
              },
              {
                "name": "createdTime",
                "value": "={{ $('Notion - Page Added Trigger').item.json.created_time }}"
              },
              {
                "name": "pageTitle",
                "value": "={{ $('Notion - Page Added Trigger').item.json.properties.Page.title[0].text.content }}"
              }
            ]
          }
        },
        "jsonData": "={{ $('Summarize - Concatenate Notion's blocks content').item.json.concatenated_content }}",
        "jsonMode": "expressionData"
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            "node": "Create metadata and load content",
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