{
  "name": "Store Notion's Pages as Vector Documents into Supabase with OpenAI",
  "nodes": [
    {
      "id": "495609cd-4ca0-426d-8413-69e771398188",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        480,
        400
      ],
      "parameters": {
        "width": 637.1327972412109,
        "height": 1113.7434387207031,
        "content": "## Store Notion's Pages as Vector Documents into Supabase\n\n**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)\n\n## Workflow Description\n\nThis workflow automates the process of storing Notion pages as vector documents in a Supabase database with a vector column. The steps are as follows:\n\n1. **Notion Page Added Trigger**:\n   - 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.\n   - Node: `Page Added in Notion Database`\n\n2. **Retrieve Page Content**:\n   - Fetches all block content from the newly added Notion page.\n   - Node: `Get Blocks Content`\n\n3. **Filter Non-Text Content**:\n   - Excludes blocks of type \"image\" and \"video\" to focus on textual content.\n   - Node: `Filter - Exclude Media Content`\n\n4. **Summarize Content**:\n   - Concatenates the Notion blocks content to create a single text for embedding.\n   - Node: `Summarize - Concatenate Notion's blocks content`\n\n5. **Store in Supabase**:\n   - Stores the processed documents and their embeddings into a Supabase table with a vector column.\n   - Node: `Store Documents in Supabase`\n\n6. **Generate Embeddings**:\n   - Utilizes OpenAI's API to generate embeddings for the textual content.\n   - Node: `Generate Text Embeddings`\n\n\n7. **Create Metadata and Load Content**:\n   - Loads the block content and creates associated metadata, such as page ID and block ID.\n   - Node: `Load Block Content & Create Metadata`\n\n8. **Split Content into Chunks**:\n   - Divides the text into smaller chunks for easier processing and embedding generation.\n   - Node: `Token Splitter`\n\n\n\n"
      },
      "typeVersion": 1
    },
    {
      "id": "3f3e65dc-2b26-407c-87e5-52ba3b315fed",
      "name": "Embeddings OpenAI",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        2200,
        760
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "6d2579b8-376f-44c3-82e8-9dc608efd98b",
      "name": "Token Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
      "position": [
        2340,
        960
      ],
      "parameters": {
        "chunkSize": 256,
        "chunkOverlap": 30
      },
      "typeVersion": 1
    },
    {
      "id": "79b3c147-08ca-4db4-9116-958a868cbfd9",
      "name": "Notion - Page Added Trigger",
      "type": "n8n-nodes-base.notionTrigger",
      "position": [
        1180,
        520
      ],
      "parameters": {
        "simple": false,
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        },
        "databaseId": {
          "__rl": true,
          "mode": "list",
          "value": "REPLACE_WITH_RESOURCE"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "e4a6f524-e3f5-4d02-949a-8523f2d21965",
      "name": "Notion - Retrieve Page Content",
      "type": "n8n-nodes-base.notion",
      "position": [
        1400,
        520
      ],
      "parameters": {
        "blockId": {
          "__rl": true,
          "mode": "url",
          "value": "={{ $json.url }}"
        },
        "resource": "block",
        "operation": "getAll",
        "returnAll": true
      },
      "typeVersion": 2.2
    },
    {
      "id": "bfebc173-8d4b-4f8f-a625-4622949dd545",
      "name": "Filter Non-Text Content",
      "type": "n8n-nodes-base.filter",
      "position": [
        1620,
        520
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "e5b605e5-6d05-4bca-8f19-a859e474620f",
              "operator": {
                "type": "string",
                "operation": "notEquals"
              },
              "leftValue": "={{ $json.type }}",
              "rightValue": "image"
            },
            {
              "id": "c7415859-5ffd-4c78-b497-91a3d6303b6f",
              "operator": {
                "type": "string",
                "operation": "notEquals"
              },
              "leftValue": "={{ $json.type }}",
              "rightValue": "video"
            }
          ]
        }
      },
      "typeVersion": 2
    },
    {
      "id": "b04939f9-355a-430b-a069-b11800066313",
      "name": "Summarize - Concatenate Notion's blocks content",
      "type": "n8n-nodes-base.summarize",
      "position": [
        1920,
        520
      ],
      "parameters": {
        "options": {
          "outputFormat": "separateItems"
        },
        "fieldsToSummarize": {
          "values": [
            {
              "field": "content",
              "separateBy": "\n",
              "aggregation": "concatenate"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "0e64dbb5-20c1-4b90-b818-a1726aaf5112",
      "name": "Create metadata and load content",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        2320,
        760
      ],
      "parameters": {
        "options": {
          "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"
      },
      "typeVersion": 1
    },
    {
      "id": "187aba6f-eaed-4427-8d40-b9da025fb37d",
      "name": "Supabase Vector Store",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "position": [
        2200,
        520
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "tableName": {
          "__rl": true,
          "mode": "list",
          "value": "REPLACE_WITH_RESOURCE"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "17bb31bc-41d9-5a12-af28-698699131329",
      "name": "Publication · Overview and setup",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -800,
        0
      ],
      "parameters": {
        "content": "# Store Notion's Pages as Vector Documents into Supabase with OpenAI\n\n## Purpose and structure\nThis folder contains the **Store Notion's Pages as Vector Documents into Supabase with OpenAI** workflow. Its executable nodes use `documentDefaultDataLoader`, `embeddingsOpenAi`, `filter`, `notion`, `notionTrigger`, `summarize`, `textSplitterTokenSplitter`, `vectorStoreSupabase`. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.\n\n## Setup\nImport inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.\n\n## Entry points\nNotion - Page Added Trigger\n\n## Verification\nSanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.\n\n## Attribution\nhttps://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Filter/1414_Filter_Summarize_Automation_Triggered.json\nMIT; preserve source notices.",
        "width": 700,
        "height": 800,
        "color": 1
      }
    }
  ],
  "active": false,
  "settings": {
    "executionOrder": "v1"
  },
  "connections": {
    "Token Splitter": {
      "ai_textSplitter": [
        [
          {
            "node": "Create metadata and load content",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings OpenAI": {
      "ai_embedding": [
        [
          {
            "node": "Supabase Vector Store",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Filter Non-Text Content": {
      "main": [
        [
          {
            "node": "Summarize - Concatenate Notion's blocks content",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Notion - Page Added Trigger": {
      "main": [
        [
          {
            "node": "Notion - Retrieve Page Content",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Notion - Retrieve Page Content": {
      "main": [
        [
          {
            "node": "Filter Non-Text Content",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Create metadata and load content": {
      "ai_document": [
        [
          {
            "node": "Supabase Vector Store",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "Summarize - Concatenate Notion's blocks content": {
      "main": [
        [
          {
            "node": "Supabase Vector Store",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}