Connectez vos comptes bancaires, collectez et analysez chaque dépense automatiquement pour piloter votre budget, éviter les fraudes et réaliser des économies.
Connectez vos comptes bancaires, collectez et analysez chaque dépense automatiquement pour piloter votre budget, éviter les fraudes et réaliser des économies.
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"name": "Store Notion's Pages as Vector Documents into Supabase with OpenAI",
"tags": [],
"nodes": [
{
"id": "495609cd-4ca0-426d-8413-69e771398188",
"name": "Sticky Note",
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"content": "## Store Notion's Pages as Vector Documents into Supabasenn**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)nn## Workflow DescriptionnnThis workflow automates the process of storing Notion pages as vector documents in a Supabase database with a vector column. The steps are as follows:nn1. **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`nn2. **Retrieve Page Content**:n - Fetches all block content from the newly added Notion page.n - Node: `Get Blocks Content`nn3. **Filter Non-Text Content**:n - Excludes blocks of type "image" and "video" to focus on textual content.n - Node: `Filter - Exclude Media Content`nn4. **Summarize Content**:n - Concatenates the Notion blocks content to create a single text for embedding.n - Node: `Summarize - Concatenate Notion's blocks content`nn5. **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`nn6. **Generate Embeddings**:n - Utilizes OpenAI's API to generate embeddings for the textual content.n - Node: `Generate Text Embeddings`nnn7. **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`nn8. **Split Content into Chunks**:n - Divides the text into smaller chunks for easier processing and embedding generation.n - Node: `Token Splitter`nnnn"
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"name": "Token Splitter",
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"position": [
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"parameters": {
"chunkSize": 256,
"chunkOverlap": 30
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{
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"name": "Notion - Page Added Trigger",
"type": "n8n-nodes-base.notionTrigger",
"position": [
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],
"parameters": {
"simple": false,
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"databaseId": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultUrl": "",
"cachedResultName": ""
}
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{
"id": "e4a6f524-e3f5-4d02-949a-8523f2d21965",
"name": "Notion - Retrieve Page Content",
"type": "n8n-nodes-base.notion",
"position": [
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],
"parameters": {
"blockId": {
"__rl": true,
"mode": "url",
"value": "={{ $json.url }}"
},
"resource": "block",
"operation": "getAll",
"returnAll": true
},
"typeVersion": 2.2
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{
"id": "bfebc173-8d4b-4f8f-a625-4622949dd545",
"name": "Filter Non-Text Content",
"type": "n8n-nodes-base.filter",
"position": [
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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",
"conditions": [
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"operator": {
"type": "string",
"operation": "notEquals"
},
"leftValue": "={{ $json.type }}",
"rightValue": "image"
},
{
"id": "c7415859-5ffd-4c78-b497-91a3d6303b6f",
"operator": {
"type": "string",
"operation": "notEquals"
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"leftValue": "={{ $json.type }}",
"rightValue": "video"
}
]
}
},
"typeVersion": 2
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{
"id": "b04939f9-355a-430b-a069-b11800066313",
"name": "Summarize - Concatenate Notion's blocks content",
"type": "n8n-nodes-base.summarize",
"position": [
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"parameters": {
"options": {
"outputFormat": "separateItems"
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"fieldsToSummarize": {
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"separateBy": "n",
"aggregation": "concatenate"
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"name": "Create metadata and load content",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
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"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
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{
"id": "187aba6f-eaed-4427-8d40-b9da025fb37d",
"name": "Supabase Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
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"parameters": {
"mode": "insert",
"options": {},
"tableName": {
"__rl": true,
"mode": "list",
"value": "",
"cachedResultName": ""
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},
"typeVersion": 1
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"active": false,
"pinData": {},
"settings": {
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"versionId": "77f6b6f7-d699-4a7e-b3e7-fe8a60bde7ba",
"connections": {
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"Embeddings OpenAI": {
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