RAG & GenAI App With WordPress Content
工作流概述
这是一个包含53个节点的复杂工作流，主要用于自动化处理各种任务。
工作流源代码
{
"id": "o8iTqIh2sVvnuWz5",
"meta": {
"instanceId": "b9faf72fe0d7c3be94b3ebff0778790b50b135c336412d28fd4fca2cbbf8d1f5"
},
"name": "RAG & GenAI App With WordPress Content",
"tags": [],
"nodes": [
{
"id": "c3738490-ed39-4774-b337-bf5ee99d0c72",
"name": "When clicking ‘Test workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
500,
940
],
"parameters": {},
"typeVersion": 1
},
{
"id": "3ab719bd-3652-433f-a597-9cd28f8cfcea",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
2580,
1320
],
"parameters": {
"model": "text-embedding-3-small",
"options": {}
},
"typeVersion": 1
},
{
"id": "e8639569-2091-44de-a84d-c3fc3ce54de4",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
2800,
1260
],
"parameters": {
"options": {
"metadata": {
"metadataValues": [
{
"name": "title",
"value": "={{ $json.title }}"
},
{
"name": "url",
"value": "={{ $json.url }}"
},
{
"name": "content_type",
"value": "={{ $json.content_type }}"
},
{
"name": "publication_date",
"value": "={{ $json.publication_date }}"
},
{
"name": "modification_date",
"value": "={{ $json.modification_date }}"
},
{
"name": "id",
"value": "={{ $json.id }}"
}
]
}
},
"jsonData": "={{ $json.data }}",
"jsonMode": "expressionData"
},
"typeVersion": 1
},
{
"id": "e7f858eb-4dca-40ea-9da9-af953687e63d",
"name": "Token Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
"position": [
2900,
1480
],
"parameters": {
"chunkSize": 300,
"chunkOverlap": 30
},
"typeVersion": 1
},
{
"id": "27585104-5315-4c11-b333-4b5d27d9bae4",
"name": "Embeddings OpenAI1",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
1400,
2340
],
"parameters": {
"model": "text-embedding-3-small",
"options": {}
},
"typeVersion": 1
},
{
"id": "35269a98-d905-4e4f-ae5b-dadad678f260",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
2800,
2300
],
"parameters": {
"model": "gpt-4o-mini",
"options": {}
},
"typeVersion": 1
},
{
"id": "cd26b6fa-a8bb-4139-9bec-8656d90d8203",
"name": "Postgres Chat Memory",
"type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
"position": [
2920,
2300
],
"parameters": {
"tableName": "website_chat_histories"
},
"typeVersion": 1.1
},
{
"id": "7c718e1b-1398-49f3-ba67-f970a82983e0",
"name": "Respond to Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
3380,
2060
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "f91f18e0-7a04-4218-8490-bff35dfbf7a8",
"name": "Set fields",
"type": "n8n-nodes-base.set",
"position": [
2360,
2060
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "6888175b-853b-457a-96f7-33dfe952a05d",
"name": "documents",
"type": "string",
"value": "={{
JSON.stringify(
$json.documents.map(doc => ({
metadata:
'URL: ' + doc.metadata.url.replaceAll('’', \"'\").replaceAll(/[\"]/g, '') + '\n' +
'Publication Date: ' + doc.metadata.publication_date.replaceAll(/[\"]/g, '') + '\n' +
'Modification Date: ' + doc.metadata.modification_date.replaceAll(/[\"]/g, '') + '\n' +
'Content Type: ' + doc.metadata.content_type.replaceAll(/[\"]/g, '') + '\n' +
'Title: ' + doc.metadata.title.replaceAll('’', \"'\").replaceAll(/[\"]/g, '') + '\n',
page_content: doc.pageContent
}))
).replaceAll(/[\[\]{}]/g, '')
}}"
},
{
"id": "ae310b77-4560-4f44-8c4e-8d13f680072e",
"name": "sessionId",
"type": "string",
"value": "={{ $('When chat message received').item.json.sessionId }}"
},
{
"id": "8738f4de-b3c3-45ad-af4b-8311c8105c35",
"name": "chatInput",
"type": "string",
"value": "={{ $('When chat message received').item.json.chatInput }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "7f392a40-e353-4bb2-9ecf-3ee330110b95",
"name": "Embeddings OpenAI2",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
6400,
860
],
"parameters": {
"model": "text-embedding-3-small",
"options": {}
},
"typeVersion": 1
},
{
"id": "9e045857-5fcd-4c4b-83ee-ceda28195b76",
"name": "Default Data Loader1",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
6500,
860
],
"parameters": {
"options": {
"metadata": {
"metadataValues": [
{
"name": "title",
"value": "={{ $json.title }}"
},
{
"name": "url",
"value": "={{ $json.url }}"
},
{
"name": "content_type",
"value": "={{ $json.content_type }}"
},
{
"name": "publication_date",
"value": "={{ $json.publication_date }}"
},
{
"name": "modification_date",
"value": "={{ $json.modification_date }}"
},
{
"name": "id",
"value": "={{ $json.id }}"
}
]
}
},
"jsonData": "={{ $json.data }}",
"jsonMode": "expressionData"
},
"typeVersion": 1
},
{
"id": "d0c1144b-4542-470e-8cbe-f985e839d9d0",
"name": "Token Splitter1",
"type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
"position": [
6500,
980
],
"parameters": {
"chunkSize": 300,
"chunkOverlap": 30
},
"typeVersion": 1
},
{
"id": "ec7cf1b2-f56f-45da-bb34-1dc8a66a7de6",
"name": "Markdown1",
"type": "n8n-nodes-base.markdown",
"position": [
6240,
900
],
"parameters": {
"html": "={{ $json.content }}",
"options": {}
},
"typeVersion": 1
},
{
"id": "8399976b-340a-49ce-a5b6-f7339957aa9d",
"name": "Postgres",
"type": "n8n-nodes-base.postgres",
"position": [
4260,
900
],
"parameters": {
"query": "select max(created_at) as last_workflow_execution from n8n_website_embedding_histories",
"options": {},
"operation": "executeQuery"
},
"typeVersion": 2.5
},
{
"id": "88e79403-06df-4f18-9e4c-a4c4e727aa17",
"name": "Aggregate",
"type": "n8n-nodes-base.aggregate",
"position": [
3300,
900
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "db7241e8-1c3a-4f91-99b7-383000f41afe",
"name": "Aggregate1",
"type": "n8n-nodes-base.aggregate",
"position": [
6800,
680
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "94bbba31-d83b-427f-a7dc-336725238294",
"name": "Aggregate2",
"type": "n8n-nodes-base.aggregate",
"position": [
7180,
1160
],
"parameters": {
"options": {},
"fieldsToAggregate": {
"fieldToAggregate": [
{
"fieldToAggregate": "metadata.id"
}
]
}
},
"typeVersion": 1
},
{
"id": "52a110fa-cdd6-4b1d-99fe-394b5dfa0a1f",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
440,
600
],
"parameters": {
"color": 5,
"width": 3308.2687575224263,
"height": 1015.3571428571431,
"content": "# Workflow 1 : Initial Embedding
## Use this workflow to create the initial embedding for your WordPress website content
"
},
"typeVersion": 1
},
{
"id": "4cbf8135-a52b-4a54-b7b0-15ea27ce7ae3",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
3812,
605
],
"parameters": {
"color": 5,
"width": 3785.6673412474183,
"height": 1020.4528919414245,
"content": "# Workflow 2 : Upsert
## Use this workflow to upsert embeddings for documents stored in the Supabase vector table
"
},
"typeVersion": 1
},
{
"id": "f6e954e0-a37a-45ac-9882-20f4f1944b70",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
440,
1820
],
"parameters": {
"color": 5,
"width": 3235.199999999999,
"height": 817.9199999999992,
"content": "# Workflow 3 : Use this workflow to enable chat functionality with your website content. The chat can be embedded into your website to enhance user experience"
},
"typeVersion": 1
},
{
"id": "acbdd54b-f02a-41aa-a0ce-8642db560151",
"name": "Wordpress - Get all posts",
"type": "n8n-nodes-base.wordpress",
"position": [
1260,
880
],
"parameters": {
"options": {},
"operation": "getAll",
"returnAll": true
},
"typeVersion": 1
},
{
"id": "94fce59d-9336-4d49-a378-17335ec02e52",
"name": "Wordpress - Get all pages",
"type": "n8n-nodes-base.wordpress",
"position": [
1260,
1060
],
"parameters": {
"options": {},
"resource": "page",
"operation": "getAll",
"returnAll": true
},
"typeVersion": 1
},
{
"id": "b00c92e5-1765-4fd9-9981-e01053992a0a",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1157,
727
],
"parameters": {
"width": 1108.3519999999999,
"height": 561.4080000000004,
"content": "## Use filters to create embeddings only for content that you want to include in your GenAI application"
},
"typeVersion": 1
},
{
"id": "f8a22739-898d-456b-93f8-79f74b60a00c",
"name": "Set fields1",
"type": "n8n-nodes-base.set",
"position": [
2320,
900
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "de6711dc-d03c-488c-bef4-0a853e2d0a14",
"name": "publication_date",
"type": "string",
"value": "={{ $json.date }}"
},
{
"id": "f8e35dcc-c96c-4554-b6bc-8e5d7eca90e3",
"name": "modification_date",
"type": "string",
"value": "={{ $json.modified }}"
},
{
"id": "f6a6e3de-fe39-4cfc-ab07-c4ccfaef78f5",
"name": "content_type",
"type": "string",
"value": "={{ $json.type }}"
},
{
"id": "b0428598-073f-4560-9a0c-01caf3708921",
"name": "title",
"type": "string",
"value": "={{ $json.title.rendered }}"
},
{
"id": "534f51b4-b43a-40d3-8120-58df8043d909",
"name": "url",
"type": "string",
"value": "={{ $json.link }}"
},
{
"id": "dbe0c559-90bd-49f8-960e-0d85d5ed4f5e",
"name": "content",
"type": "string",
"value": "={{ $json.content.rendered }}"
},
{
"id": "892be7c6-b032-4129-b285-1986ed4ee046",
"name": "protected",
"type": "boolean",
"value": "={{ $json.excerpt.protected }}"
},
{
"id": "06fac885-4431-41ff-a43b-6eb84ca57401",
"name": "status",
"type": "string",
"value": "={{ $json.status }}"
},
{
"id": "43b1aea7-895e-41da-a0a6-2f1cec1f1b97",
"name": "id",
"type": "number",
"value": "={{ $json.id }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "404db031-f470-4e42-a3b3-66b849a86174",
"name": "Filter - Only published & unprotected content",
"type": "n8n-nodes-base.filter",
"position": [
2520,
900
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "1f708587-f3d3-487a-843a-b6a2bfad2ca9",
"operator": {
"type": "boolean",
"operation": "false",
"singleValue": true
},
"leftValue": "={{ $json.protected }}",
"rightValue": ""
},
{
"id": "04f47269-e112-44c3-9014-749898aca8bd",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "publish"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "05bb6091-515e-4f22-a3fd-d25b2046a03d",
"name": "HTML To Markdown",
"type": "n8n-nodes-base.markdown",
"position": [
2740,
900
],
"parameters": {
"html": "={{ $json.content}}",
"options": {}
},
"typeVersion": 1
},
{
"id": "391e9ea7-71dd-42ae-bee7-badcae32427c",
"name": "Supabase - Store workflow execution",
"type": "n8n-nodes-base.supabase",
"position": [
3520,
900
],
"parameters": {
"tableId": "n8n_website_embedding_histories",
"fieldsUi": {
"fieldValues": [
{
"fieldId": "id",
"fieldValue": "={{ $executionId }}"
}
]
}
},
"typeVersion": 1
},
{
"id": "47dad096-efc8-4bdd-9c22-49562325d8a0",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
460,
1320
],
"parameters": {
"width": 851.1898437499999,
"height": 275.2000000000001,
"content": "## Run these two nodes if the \"documents\" table on Supabase and the \"n8n_website_embedding_histories\" table do not exist"
},
"typeVersion": 1
},
{
"id": "d19f3a5f-fa42-46d0-a366-4c5a5d09f559",
"name": "Every 30 seconds",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
3940,
900
],
"parameters": {
"rule": {
"interval": [
{
"field": "seconds"
}
]
}
},
"typeVersion": 1.2
},
{
"id": "a22ab0dd-1da8-4fc2-8106-6130bf7938c8",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
3820,
740
],
"parameters": {
"width": 336.25,
"height": 292.5,
"content": "## Set this node to match the frequency of publishing and updating on your website"
},
"typeVersion": 1
},
{
"id": "ba25135b-6e6e-406b-b18a-f532a6e37276",
"name": "Wordpress - Get posts modified after last workflow execution",
"type": "n8n-nodes-base.httpRequest",
"position": [
4600,
840
],
"parameters": {
"url": "https://mydomain.com/wp-json/wp/v2/posts",
"options": {},
"sendQuery": true,
"authentication": "predefinedCredentialType",
"queryParameters": {
"parameters": [
{
"name": "modified_after",
"value": "={{ $json.last_workflow_execution }}"
}
]
},
"nodeCredentialType": "wordpressApi"
},
"typeVersion": 4.2
},
{
"id": "a1d8572e-2b0d-40a1-a898-bbd563a6b190",
"name": "Wordpress - Get posts modified after last workflow execution1",
"type": "n8n-nodes-base.httpRequest",
"position": [
4600,
1060
],
"parameters": {
"url": "https://mydomain.com/wp-json/wp/v2/pages",
"options": {},
"sendQuery": true,
"authentication": "predefinedCredentialType",
"queryParameters": {
"parameters": [
{
"name": "modified_after",
"value": "={{ $json.last_workflow_execution }}"
}
]
},
"nodeCredentialType": "wordpressApi"
},
"typeVersion": 4.2
},
{
"id": "c0839aaa-8ba7-47ff-8fa9-dc75e1c4da84",
"name": "Set fields2",
"type": "n8n-nodes-base.set",
"position": [
5420,
920
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "de6711dc-d03c-488c-bef4-0a853e2d0a14",
"name": "publication_date",
"type": "string",
"value": "={{ $json.date }}"
},
{
"id": "f8e35dcc-c96c-4554-b6bc-8e5d7eca90e3",
"name": "modification_date",
"type": "string",
"value": "={{ $json.modified }}"
},
{
"id": "f6a6e3de-fe39-4cfc-ab07-c4ccfaef78f5",
"name": "content_type",
"type": "string",
"value": "={{ $json.type }}"
},
{
"id": "b0428598-073f-4560-9a0c-01caf3708921",
"name": "title",
"type": "string",
"value": "={{ $json.title.rendered }}"
},
{
"id": "534f51b4-b43a-40d3-8120-58df8043d909",
"name": "url",
"type": "string",
"value": "={{ $json.link }}"
},
{
"id": "dbe0c559-90bd-49f8-960e-0d85d5ed4f5e",
"name": "content",
"type": "string",
"value": "={{ $json.content.rendered }}"
},
{
"id": "892be7c6-b032-4129-b285-1986ed4ee046",
"name": "protected",
"type": "boolean",
"value": "={{ $json.content.protected }}"
},
{
"id": "06fac885-4431-41ff-a43b-6eb84ca57401",
"name": "status",
"type": "string",
"value": "={{ $json.status }}"
},
{
"id": "43b1aea7-895e-41da-a0a6-2f1cec1f1b97",
"name": "id",
"type": "number",
"value": "={{ $json.id }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "15b1d30a-5861-4380-89d5-0eef65240503",
"name": "Filter - Only published and unprotected content",
"type": "n8n-nodes-base.filter",
"position": [
5760,
920
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "c2b25d74-91d7-44ea-8598-422100947b07",
"operator": {
"type": "boolean",
"operation": "false",
"singleValue": true
},
"leftValue": "={{ $json.protected }}",
"rightValue": ""
},
{
"id": "3e63bf79-25ca-4ccf-aa86-ff5f90e1ece1",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "publish"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "0990f503-8d6f-44f6-8d04-7e2f7d74301a",
"name": "Loop Over Items",
"type": "n8n-nodes-base.splitInBatches",
"position": [
6040,
920
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "6cc4e46e-3884-4259-b7ed-51c5552cc3e0",
"name": "Set fields3",
"type": "n8n-nodes-base.set",
"position": [
7400,
1160
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "de6711dc-d03c-488c-bef4-0a853e2d0a14",
"name": "publication_date",
"type": "string",
"value": "={{ $('Loop Over Items').item.json.publication_date }}"
},
{
"id": "f8e35dcc-c96c-4554-b6bc-8e5d7eca90e3",
"name": "modification_date",
"type": "string",
"value": "={{ $('Loop Over Items').item.json.modification_date }}"
},
{
"id": "f6a6e3de-fe39-4cfc-ab07-c4ccfaef78f5",
"name": "content_type",
"type": "string",
"value": "={{ $('Loop Over Items').item.json.content_type }}"
},
{
"id": "b0428598-073f-4560-9a0c-01caf3708921",
"name": "title",
"type": "string",
"value": "={{ $('Loop Over Items').item.json.title }}"
},
{
"id": "534f51b4-b43a-40d3-8120-58df8043d909",
"name": "url",
"type": "string",
"value": "={{ $('Loop Over Items').item.json.url }}"
},
{
"id": "dbe0c559-90bd-49f8-960e-0d85d5ed4f5e",
"name": "content",
"type": "string",
"value": "={{ $('Loop Over Items').item.json.content }}"
},
{
"id": "892be7c6-b032-4129-b285-1986ed4ee046",
"name": "protected",
"type": "boolean",
"value": "={{ $('Loop Over Items').item.json.protected }}"
},
{
"id": "06fac885-4431-41ff-a43b-6eb84ca57401",
"name": "status",
"type": "string",
"value": "={{ $('Loop Over Items').item.json.status }}"
},
{
"id": "43b1aea7-895e-41da-a0a6-2f1cec1f1b97",
"name": "id",
"type": "number",
"value": "={{ $('Loop Over Items').item.json.id }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "24f47982-a803-4848-8390-c400a8cebcee",
"name": "Set fields4",
"type": "n8n-nodes-base.set",
"position": [
6680,
1400
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "de6711dc-d03c-488c-bef4-0a853e2d0a14",
"name": "publication_date",
"type": "string",
"value": "={{ $('Loop Over Items').item.json.publication_date }}"
},
{
"id": "f8e35dcc-c96c-4554-b6bc-8e5d7eca90e3",
"name": "modification_date",
"type": "string",
"value": "={{ $('Loop Over Items').item.json.modification_date }}"
},
{
"id": "f6a6e3de-fe39-4cfc-ab07-c4ccfaef78f5",
"name": "content_type",
"type": "string",
"value": "={{ $('Loop Over Items').item.json.content_type }}"
},
{
"id": "b0428598-073f-4560-9a0c-01caf3708921",
"name": "title",
"type": "string",
"value": "={{ $('Loop Over Items').item.json.title }}"
},
{
"id": "534f51b4-b43a-40d3-8120-58df8043d909",
"name": "url",
"type": "string",
"value": "={{ $('Loop Over Items').item.json.url }}"
},
{
"id": "dbe0c559-90bd-49f8-960e-0d85d5ed4f5e",
"name": "content",
"type": "string",
"value": "={{ $('Loop Over Items').item.json.content }}"
},
{
"id": "892be7c6-b032-4129-b285-1986ed4ee046",
"name": "protected",
"type": "boolean",
"value": "={{ $('Loop Over Items').item.json.protected }}"
},
{
"id": "06fac885-4431-41ff-a43b-6eb84ca57401",
"name": "status",
"type": "string",
"value": "={{ $('Loop Over Items').item.json.status }}"
},
{
"id": "43b1aea7-895e-41da-a0a6-2f1cec1f1b97",
"name": "id",
"type": "number",
"value": "={{ $('Loop Over Items').item.json.id }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "5f59ebbf-ca17-4311-809c-85b74ce624cc",
"name": "Store documents on Supabase",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
6380,
680
],
"parameters": {
"mode": "insert",
"options": {
"queryName": "match_documents"
},
"tableName": {
"__rl": true,
"mode": "list",
"value": "documents",
"cachedResultName": "documents"
}
},
"typeVersion": 1
},
{
"id": "2422562e-9c95-4d77-ae8c-485b06f9234e",
"name": "Store workflow execution id and timestamptz",
"type": "n8n-nodes-base.supabase",
"position": [
7060,
680
],
"parameters": {
"tableId": "n8n_website_embedding_histories"
},
"typeVersion": 1
},
{
"id": "5013f3a1-f7fb-4fa7-9ef2-3599f77f5fc8",
"name": "Aggregate documents",
"type": "n8n-nodes-base.aggregate",
"position": [
1960,
2060
],
"parameters": {
"options": {},
"fieldsToAggregate": {
"fieldToAggregate": [
{
"renameField": true,
"outputFieldName": "documents",
"fieldToAggregate": "document"
}
]
}
},
"typeVersion": 1
},
{
"id": "26532217-3206-4be3-b186-733bc364913b",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
1220,
1980
],
"parameters": {
"width": 665.78125,
"height": 507.65625,
"content": "## Retrieve documents from Supabase immediately after chat input to send metadata to OpenAI"
},
"typeVersion": 1
},
{
"id": "78d2806c-8d13-44b8-bd6d-866fa794edae",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
6375,
1090
],
"parameters": {
"width": 1198.9843749999998,
"height": 515.4687499999998,
"content": "## Switch:
- **If the document exists and has been updated:** delete rows and insert new embedding
- **If it’s a new document:** insert embedding"
},
"typeVersion": 1
},
{
"id": "3b5ffada-ae2a-45a2-a76c-69732b05761c",
"name": "Postgres - Create documents table",
"type": "n8n-nodes-base.postgres",
"position": [
560,
1440
],
"parameters": {
"query": "-- Enable the pgvector extension to work with embedding vectors
CREATE EXTENSION vector;
-- Create a table to store your documents with default RLS
CREATE TABLE
documents (
id BIGINT PRIMARY KEY GENERATED ALWAYS AS IDENTITY,
CONTENT TEXT, -- corresponds to Document.pageContent
metadata jsonb, -- corresponds to Document.metadata
embedding vector (1536) -- 1536 works for OpenAI embeddings, change if needed
);
-- Enable Row Level Security on the documents table
ALTER TABLE documents ENABLE ROW LEVEL SECURITY;
-- Create a function to search for documents
CREATE FUNCTION match_documents (
query_embedding vector (1536),
match_count INT DEFAULT NULL,
FILTER jsonb DEFAULT '{}'
) RETURNS TABLE (
id BIGINT,
CONTENT TEXT,
metadata jsonb,
similarity FLOAT
) LANGUAGE plpgsql AS $$
#variable_conflict use_column
BEGIN
RETURN QUERY
SELECT
id,
content,
metadata,
1 - (documents.embedding <=> query_embedding) AS similarity
FROM documents
WHERE metadata @> filter
ORDER BY documents.embedding <=> query_embedding
LIMIT match_count;
END;
$$;",
"options": {},
"operation": "executeQuery"
},
"typeVersion": 2.5
},
{
"id": "632a7b44-a062-472e-a777-805ee74a4bd6",
"name": "Postgres - Create workflow execution history table",
"type": "n8n-nodes-base.postgres",
"position": [
920,
1440
],
"parameters": {
"query": "CREATE TABLE
n8n_website_embedding_histories (
id BIGINT PRIMARY KEY GENERATED ALWAYS AS IDENTITY,
created_at TIMESTAMP WITH TIME ZONE DEFAULT NOW()
);",
"options": {},
"operation": "executeQuery"
},
"typeVersion": 2.5
},
{
"id": "7c55e08b-e116-4e22-bd1d-e4bec5107d89",
"name": "Merge Wordpress Posts and Pages",
"type": "n8n-nodes-base.merge",
"position": [
1660,
900
],
"parameters": {},
"typeVersion": 3
},
{
"id": "4520db6c-2e68-45ff-9439-6fd95f95dc85",
"name": "Merge retrieved WordPress posts and pages",
"type": "n8n-nodes-base.merge",
"position": [
5120,
920
],
"parameters": {},
"typeVersion": 3
},
{
"id": "d547a063-6b76-4bfd-ba0a-165181c4af19",
"name": "Postgres - Filter on existing documents",
"type": "n8n-nodes-base.postgres",
"position": [
6260,
1180
],
"parameters": {
"query": "SELECT *
FROM documents
WHERE (metadata->>'id')::integer = {{ $json.id }};
",
"options": {},
"operation": "executeQuery"
},
"typeVersion": 2.5,
"alwaysOutputData": true
},
{
"id": "03456a81-d512-4fd8-842a-27b6d8b3f94e",
"name": "Supabase - Delete row if documents exists",
"type": "n8n-nodes-base.supabase",
"position": [
6900,
1160
],
"parameters": {
"tableId": "documents",
"operation": "delete",
"filterType": "string",
"filterString": "=metadata->>id=like.{{ $json.metadata.id }}"
},
"executeOnce": false,
"typeVersion": 1,
"alwaysOutputData": false
},
{
"id": "72e5bf4b-c413-4fb7-acb8-59e7abee60f7",
"name": "Switch",
"type": "n8n-nodes-base.switch",
"position": [
6580,
1180
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "existing_documents",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"operator": {
"type": "number",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.metadata.id }}",
"rightValue": ""
}
]
},
"renameOutput": true
},
{
"outputKey": "new_documents",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "696d1c1b-8674-4549-880e-e0d0ff681905",
"operator": {
"type": "number",
"operation": "notExists",
"singleValue": true
},
"leftValue": "={{ $json.metadata.id }}",
"rightValue": ""
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "6c5d8f6a-569e-4f1e-99a6-07ec492575ff",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
660,
2060
],
"webhookId": "4e762668-c19f-40ec-83bf-302bb9fc6527",
"parameters": {
"mode": "webhook",
"public": true,
"options": {}
},
"typeVersion": 1.1
},
{
"id": "9a2f17ba-902f-4528-9eef-f8c0e4ddf516",
"name": "Supabase - Retrieve documents from chatinput",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
1380,
2060
],
"parameters": {
"mode": "load",
"prompt": "={{ $json.chatInput }}",
"options": {},
"tableName": {
"__rl": true,
"mode": "list",
"value": "documents",
"cachedResultName": "documents"
}
},
"typeVersion": 1
},
{
"id": "43607f23-d33f-4aca-b478-f20ba8c218cf",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
2780,
2060
],
"parameters": {
"text": "=Visitor's question : {{ $json.chatInput }}
Documents found: {{ $json.documents }}",
"agent": "conversationalAgent",
"options": {
"systemMessage": "You are an assistant tasked with answering questions from visitors to the website {{your_website_url}}.
Input:
Visitor's question: The question posed by the visitor.
Documents found: A selection of documents from the vector database that match the visitor's question. These documents are accompanied by the following metadata:
url: The URL of the page or blog post found.
content_type: The type of content (e.g., page or blog article).
publication_date: The publication date of the document.
modification_date: The last modification date of the document.
Objective:
Provide a helpful answer using the relevant information from the documents found.
IMPORTANT : You must always include all metadata (url, content_type, publication_date, and modification_date) directly in the main answer to the visitor to indicate the source of the information. These should not be separated from the main answer, and must be naturally integrated into the response.
If multiple documents are used in your response, mention each one with its respective metadata.
If no relevant documents are found, or if the documents are insufficient, clearly indicate this in your response.
Important: Respond in the language used by the visitor who asked the question.
Example of forced metadata integration:
\"The cost of a home charging station for an electric vehicle varies depending on several factors. According to [title of the page](https://example.com/charging-point-price), published on April 8, 2021, and updated on July 24, 2022, the price for a 7kW station is €777.57 including VAT. This page provides further details about the price range and installation considerations.\""
},
"promptType": "define"
},
"typeVersion": 1.6
},
{
"id": "cd4107cb-e521-4c1e-88e2-3417a12fd585",
"name": "Supabase Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
2940,
900
],
"parameters": {
"mode": "insert",
"options": {
"queryName": "match_documents"
},
"tableName": {
"__rl": true,
"mode": "list",
"value": "documents",
"cachedResultName": "documents"
}
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "fe2a25f4-04b3-462c-97cd-a173b4a0631b",
"connections": {
"Switch": {
"main": [
[
{
"node": "Supabase - Delete row if documents exists",
"type": "main",
"index": 0
}
],
[
{
"node": "Set fields4",
"type": "main",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"Postgres": {
"main": [
[
{
"node": "Wordpress - Get posts modified after last workflow execution",
"type": "main",
"index": 0
},
{
"node": "Wordpress - Get posts modified after last workflow execution1",
"type": "main",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "Supabase - Store workflow execution",
"type": "main",
"index": 0
}
]
]
},
"Markdown1": {
"main": [
[
{
"node": "Store documents on Supabase",
"type": "main",
"index": 0
}
]
]
},
"Aggregate1": {
"main": [
[
{
"node": "Store workflow execution id and timestamptz",
"type": "main",
"index": 0
}
]
]
},
"Aggregate2": {
"main": [
[
{
"node": "Set fields3",
"type": "main",
"index": 0
}
]
]
},
"Set fields": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Set fields1": {
"main": [
[
{
"node": "Filter - Only published & unprotected content",
"type": "main",
"index": 0
}
]
]
},
"Set fields2": {
"main": [
[
{
"node": "Filter - Only published and unprotected content",
"type": "main",
"index": 0
}
]
]
},
"Set fields3": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Set fields4": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Token Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[
{
"node": "Markdown1",
"type": "main",
"index": 0
}
],
[
{
"node": "Postgres - Filter on existing documents",
"type": "main",
"index": 0
}
]
]
},
"Token Splitter1": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader1",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Every 30 seconds": {
"main": [
[
{
"node": "Postgres",
"type": "main",
"index": 0
}
]
]
},
"HTML To Markdown": {
"main": [
[
{
"node": "Supabase Vector Store",
"type": "main",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Supabase Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Embeddings OpenAI1": {
"ai_embedding": [
[
{
"node": "Supabase - Retrieve documents from chatinput",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Embeddings OpenAI2": {
"ai_embedding": [
[
{
"node": "Store documents on Supabase",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Aggregate documents": {
"main": [
[
{
"node": "Set fields",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Supabase Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Default Data Loader1": {
"ai_document": [
[
{
"node": "Store documents on Supabase",
"type": "ai_document",
"index": 0
}
]
]
},
"Postgres Chat Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Supabase Vector Store": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
]
]
},
"Wordpress - Get all pages": {
"main": [
[
{
"node": "Merge Wordpress Posts and Pages",
"type": "main",
"index": 1
}
]
]
},
"Wordpress - Get all posts": {
"main": [
[
{
"node": "Merge Wordpress Posts and Pages",
"type": "main",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "Supabase - Retrieve documents from chatinput",
"type": "main",
"index": 0
}
]
]
},
"Store documents on Supabase": {
"main": [
[
{
"node": "Aggregate1",
"type": "main",
"index": 0
}
]
]
},
"Merge Wordpress Posts and Pages": {
"main": [
[
{
"node": "Set fields1",
"type": "main",
"index": 0
}
]
]
},
"Postgres - Create documents table": {
"main": [
[
{
"node": "Postgres - Create workflow execution history table",
"type": "main",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "Wordpress - Get all posts",
"type": "main",
"index": 0
},
{
"node": "Wordpress - Get all pages",
"type": "main",
"index": 0
}
]
]
},
"Postgres - Filter on existing documents": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"Merge retrieved WordPress posts and pages": {
"main": [
[
{
"node": "Set fields2",
"type": "main",
"index": 0
}
]
]
},
"Supabase - Delete row if documents exists": {
"main": [
[
{
"node": "Aggregate2",
"type": "main",
"index": 0
}
]
]
},
"Supabase - Retrieve documents from chatinput": {
"main": [
[
{
"node": "Aggregate documents",
"type": "main",
"index": 0
}
]
]
},
"Filter - Only published & unprotected content": {
"main": [
[
{
"node": "HTML To Markdown",
"type": "main",
"index": 0
}
]
]
},
"Filter - Only published and unprotected content": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Wordpress - Get posts modified after last workflow execution": {
"main": [
[
{
"node": "Merge retrieved WordPress posts and pages",
"type": "main",
"index": 0
}
]
]
},
"Wordpress - Get posts modified after last workflow execution1": {
"main": [
[
{
"node": "Merge retrieved WordPress posts and pages",
"type": "main",
"index": 1
}
]
]
}
}
}功能特点
- 自动检测新邮件
- AI智能内容分析
- 自定义分类规则
- 批量处理能力
- 详细的处理日志
技术分析
节点类型及作用
- Manualtrigger
- @N8N/N8N Nodes Langchain.Embeddingsopenai
- @N8N/N8N Nodes Langchain.Documentdefaultdataloader
- @N8N/N8N Nodes Langchain.Textsplittertokensplitter
- @N8N/N8N Nodes Langchain.Lmchatopenai
复杂度评估
配置难度：
维护难度：
扩展性：
实施指南
前置条件
- 有效的Gmail账户
- n8n平台访问权限
- Google API凭证
- AI分类服务订阅
配置步骤
- 在n8n中导入工作流JSON文件
- 配置Gmail节点的认证信息
- 设置AI分类器的API密钥
- 自定义分类规则和标签映射
- 测试工作流执行
- 配置定时触发器（可选）
关键参数
| 参数名称 | 默认值 | 说明 |
|---|---|---|
| maxEmails | 50 | 单次处理的最大邮件数量 |
| confidenceThreshold | 0.8 | 分类置信度阈值 |
| autoLabel | true | 是否自动添加标签 |
最佳实践
优化建议
- 定期更新AI分类模型以提高准确性
- 根据邮件量调整处理批次大小
- 设置合理的分类置信度阈值
- 定期清理过期的分类规则
安全注意事项
- 妥善保管API密钥和认证信息
- 限制工作流的访问权限
- 定期审查处理日志
- 启用双因素认证保护Gmail账户
性能优化
- 使用增量处理减少重复工作
- 缓存频繁访问的数据
- 并行处理多个邮件分类任务
- 监控系统资源使用情况
故障排除
常见问题
邮件未被正确分类
检查AI分类器的置信度阈值设置，适当降低阈值或更新训练数据。
Gmail认证失败
确认Google API凭证有效且具有正确的权限范围，重新进行OAuth授权。
调试技巧
- 启用详细日志记录查看每个步骤的执行情况
- 使用测试邮件验证分类逻辑
- 检查网络连接和API服务状态
- 逐步执行工作流定位问题节点
错误处理
工作流包含以下错误处理机制：
- 网络超时自动重试（最多3次）
- API错误记录和告警
- 处理失败邮件的隔离机制
- 异常情况下的回滚操作