This workflow follows the Agent → Datatable recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "Indexation",
"nodes": [
{
"parameters": {
"formTitle": "Indexation de fichiers",
"formDescription": "Formulaire de prise en compte d'un fichier pdf \u00e0 indexer",
"formFields": {
"values": [
{
"fieldLabel": "Fichier",
"fieldType": "file",
"multipleFiles": false,
"acceptFileTypes": ".pdf",
"requiredField": true
},
{
"fieldLabel": "model",
"fieldType": "dropdown",
"fieldOptions": {
"values": [
{
"option": "local"
},
{
"option": "remote"
},
{
"option": "openai"
}
]
},
"requiredField": true
}
]
},
"options": {}
},
"type": "n8n-nodes-base.formTrigger",
"typeVersion": 2.3,
"position": [
0,
208
],
"id": "72bc2d44-cc4c-49d4-a59d-17a86e15002a",
"name": "Index file"
},
{
"parameters": {
"operation": "pdf",
"binaryPropertyName": "Fichier",
"options": {
"joinPages": false
}
},
"type": "n8n-nodes-base.extractFromFile",
"typeVersion": 1,
"position": [
224,
208
],
"id": "3076251d-f573-4b45-97ac-63e544408d3a",
"name": "Extract from File"
},
{
"parameters": {
"fieldToSplitOut": "text",
"options": {}
},
"type": "n8n-nodes-base.splitOut",
"typeVersion": 1,
"position": [
736,
208
],
"id": "979db5e3-92a6-4254-9dd0-907ab5a256e0",
"name": "Split pages"
},
{
"parameters": {
"model": "nomic-embed-text:latest"
},
"type": "@n8n/n8n-nodes-langchain.embeddingsOllama",
"typeVersion": 1,
"position": [
2960,
432
],
"id": "86bf83f8-8eaa-492e-8761-04a88e5163af",
"name": "Embeddings Ollama",
"credentials": {
"ollamaApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 1
},
"conditions": [
{
"id": "content-filter",
"leftValue": "={{ $('Clean Content').item.json.output }}",
"rightValue": "SKIP",
"operator": {
"type": "string",
"operation": "notContains"
}
},
{
"id": "min-length",
"leftValue": "={{ $('Clean Content').item.json.output.length }}",
"rightValue": 50,
"operator": {
"operation": "gte",
"type": "number"
}
},
{
"id": "c0946734-9b31-4420-ad94-9ec3a844cbc6",
"leftValue": "={{ $('Clean Content').item.json.output }}",
"rightValue": "skip",
"operator": {
"type": "string",
"operation": "notContains"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
2736,
208
],
"id": "c9a89967-941b-4d16-b049-d9c5fd5dd3e5",
"name": "Filter Quality Content"
},
{
"parameters": {
"chunkOverlap": 200,
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"typeVersion": 1,
"position": [
3168,
640
],
"id": "7ed11a42-b0fd-406e-8653-a7ddca5a50d1",
"name": "Smart Text Chunker"
},
{
"parameters": {
"numberInputs": 3,
"rules": {
"rule": [
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "ac253c83-e230-4dc4-8321-26635c154859",
"leftValue": "={{ $('Index file').item.json.model }}",
"rightValue": "local",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
}
},
{
"modelIndex": 2,
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "d6a99a37-231a-43a8-b8f4-d4c42b9ec441",
"leftValue": "={{ $('Index file').item.json.model }}",
"rightValue": "remote",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
}
},
{
"modelIndex": 3,
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "bef31ca0-40a7-4bfd-8900-eb4b858af3e7",
"leftValue": "={{ $('Index file').item.json.model }}",
"rightValue": "openai",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
}
}
]
}
},
"type": "@n8n/n8n-nodes-langchain.modelSelector",
"typeVersion": 1,
"position": [
1504,
224
],
"id": "325da776-80d9-496a-a7b1-89279192af35",
"name": "Model Selector"
},
{
"parameters": {
"model": "qwen2.5:3b-instruct-q4_K_M",
"options": {
"temperature": 0.4,
"keepAlive": "-1m"
}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOllama",
"typeVersion": 1,
"position": [
1456,
432
],
"id": "c5fe438c-bd55-403d-b3d4-88f2561ae66f",
"name": "Local Ollama Agent Model",
"credentials": {
"ollamaApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"model": "qwen2.5:7b",
"options": {
"temperature": 0.4,
"keepAlive": "-1m"
}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOllama",
"typeVersion": 1,
"position": [
1584,
432
],
"id": "d0e4d7f2-9403-4d00-a92a-c7f479382ea1",
"name": "Remote Ollama Agent Model",
"credentials": {
"ollamaApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"endpointUrl": "http://playwright-mcp:3333/mcp",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.mcpClientTool",
"typeVersion": 1.2,
"position": [
736,
736
],
"id": "aff72c1a-db57-41fc-b1c0-e7c702c9487b",
"name": "playwright_mcp"
},
{
"parameters": {
"formTitle": "Indexation d'Url",
"formDescription": "Formulaire de prise en compte d'une url \u00e0 indexer (utilise OpenAI)",
"formFields": {
"values": [
{
"fieldLabel": "Url",
"placeholder": "L'url de la page \u00e0 indexer",
"requiredField": true
},
{
"fieldLabel": "model",
"fieldType": "dropdown",
"fieldOptions": {
"values": [
{
"option": "remote"
},
{
"option": "openai"
}
]
}
}
]
},
"options": {}
},
"type": "n8n-nodes-base.formTrigger",
"typeVersion": 2.3,
"position": [
0,
608
],
"id": "ef4bac0a-d128-46a3-858b-d8f7f15c4aab",
"name": "Index Url"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-4o-mini",
"mode": "list",
"cachedResultName": "gpt-4o-mini"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
1712,
432
],
"id": "22954643-bcf1-4124-89f5-e20f59eef5b3",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsonSchemaExample": "{\n\t\"title\": \"Titre de la page Web\",\n\t\"content\": \"Contenu de la page web en markdown\"\n}",
"autoFix": true
},
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.3,
"position": [
864,
736
],
"id": "d81a1583-8b66-4483-95ab-fd0bc67d6314",
"name": "Structured Output Parser"
},
{
"parameters": {
"mode": "insert",
"qdrantCollection": {
"__rl": true,
"value": "documents",
"mode": "list",
"cachedResultName": "documents"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"typeVersion": 1.3,
"position": [
2992,
208
],
"id": "c76ebc9f-971a-4527-aab9-ff74d8daaebd",
"name": "Documents Qdrant Vector Store",
"credentials": {
"qdrantApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"mode": "insert",
"qdrantCollection": {
"__rl": true,
"value": "web_documents",
"mode": "list",
"cachedResultName": "web_documents"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"typeVersion": 1.3,
"position": [
1936,
608
],
"id": "816cccea-c541-440f-af92-3f9b91cd85bd",
"name": "Web Documents Qdrant Vector Store1",
"credentials": {
"qdrantApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsonMode": "expressionData",
"jsonData": "={{ $('Clean Content').item.json.output }}",
"textSplittingMode": "custom",
"options": {
"metadata": {
"metadataValues": [
{
"name": "source_filename",
"value": "={{ $('Index file').item.json.Fichier.filename }}"
},
{
"name": "source_type",
"value": "={{ $('Index file').item.json.Fichier.mimetype }}"
},
{
"name": "page_number",
"value": "={{ $('Split pages').item.json.pageNumber || ($itemIndex + 1) }}"
},
{
"name": "content_length",
"value": "={{ $json.pageContent?.length || $json.text?.length || 0 }}"
},
{
"name": "chunk_id",
"value": "={{ $('Index file').item.json.Fichier.filename }}_page_{{ $('Split pages').item.json.pageNumber || ($itemIndex + 1) }}_chunk_{{ $itemIndex }}"
},
{
"name": "indexed_date",
"value": "={{ new Date().toISOString() }}"
},
{
"name": "document_title",
"value": "={{ $('Index file').item.json.Fichier.filename.replace('.pdf', '') }}"
}
]
}
}
},
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"typeVersion": 1.1,
"position": [
3088,
432
],
"id": "9a99b52e-c820-4f83-8e56-2daac8e7f172",
"name": "Document Data Loader"
},
{
"parameters": {
"jsonMode": "expressionData",
"jsonData": "={{ $('Web Scraping').item.json.output.content }}",
"textSplittingMode": "custom",
"options": {
"metadata": {
"metadataValues": [
{
"name": "url",
"value": "={{ $('Index Url').item.json.Url }}"
},
{
"name": "title",
"value": "={{ $('Web Scraping').item.json.output.title }}"
},
{
"name": "scraped_at",
"value": "={{ new Date().toISOString() }}"
},
{
"name": "content_type",
"value": "markdown"
},
{
"name": "domain",
"value": "={{ new URL($('Index Url').item.json.Url).hostname }}"
},
{
"name": "content_length",
"value": "={{ $('Web Scraping').item.json.output.content.length() }}"
}
]
}
}
},
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"typeVersion": 1.1,
"position": [
1920,
832
],
"id": "a14ce718-b9a6-4ef3-a759-b0ae103caa52",
"name": "Web Document Data Loader"
},
{
"parameters": {
"promptType": "define",
"text": "={{ $json.text }}",
"options": {
"systemMessage": "Tu es un expert en nettoyage et structuration de documents PDF.\n\nInstructions :\n* Supprime les num\u00e9ros de page, headers, footers r\u00e9p\u00e9titifs\n* Corrige les mots coup\u00e9s en fin de ligne\n* Supprime les lignes vides multiples\n* Garde uniquement le contenu informatif principal\n* Ignore les \u00e9l\u00e9ments de navigation ou publicitaires\n* Structure le texte avec des titres markdown appropri\u00e9s\n* Pr\u00e9serve la structure logique du document\n\nCrit\u00e8res de qualit\u00e9 :\n- Le texte doit \u00eatre informatif et coh\u00e9rent\n- Minimum 50 caract\u00e8res de contenu utile\n- Pas de texte r\u00e9p\u00e9titif ou de bruit\n\nFormat de sortie :\nTexte nettoy\u00e9 et structur\u00e9 en markdown, ou 'SKIP' si le contenu n'est pas pertinent"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 3,
"position": [
1520,
0
],
"id": "7b50ec4f-ae1c-4b52-8764-0aac61a3671e",
"name": "Clean Content"
},
{
"parameters": {
"promptType": "define",
"text": "={{ $('Index Url').item.json.Url }}",
"hasOutputParser": true,
"options": {
"systemMessage": "Tu es un expert en extraction et structuration de contenu web en Fran\u00e7ais.\n\nInstructions :\n* Utilise l'outil playwright_mcp pour naviguer sur les pages web demand\u00e9es\n* Extrait le contenu principal en \u00e9vitant les \u00e9l\u00e9ments de navigation, publicit\u00e9s, cookies, headers et footers\n* Supprime les \u00e9l\u00e9ments r\u00e9p\u00e9titifs comme les menus, barres lat\u00e9rales et widgets\n* Corrige la mise en forme et les espaces inutiles\n* Supprime les lignes vides multiples\n* Garde uniquement le contenu informatif principal (articles, textes, descriptions)\n* Ignore les \u00e9l\u00e9ments interactifs (boutons, formulaires) sauf si pertinents\n* Structure le texte avec des titres markdown appropri\u00e9s\n* Pr\u00e9serve la hi\u00e9rarchie logique du contenu (H1, H2, H3...)\n* Extrait les liens importants en conservant leur contexte\n\nCrit\u00e8res de qualit\u00e9 :\n- Le contenu doit \u00eatre informatif et coh\u00e9rent\n- Minimum 50 caract\u00e8res de contenu utile\n- Pas de texte r\u00e9p\u00e9titif ou de bruit\n- Pr\u00e9serve les informations essentielles (dates, auteurs, sources)\n- Maintient la lisibilit\u00e9 et la structure logique\n\nFormat de sortie :\nContenu web nettoy\u00e9 et structur\u00e9 en markdown et en Fran\u00e7ais, ou 'SKIP' si la page n'est pas accessible ou ne contient pas de contenu pertinent"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 3,
"position": [
672,
512
],
"id": "5237db7e-2127-4718-b609-1fe936174bf4",
"name": "Web Scraping"
},
{
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "$input.item.json.start_time = Date.now();\n\nreturn $input.item;"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1232,
208
],
"id": "4eeb885c-636f-4d24-8207-8e64a727a4b1",
"name": "Set clean content start_time"
},
{
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "$input.item.json.duration_ms = Date.now() - $('Set clean content start_time').item.json.start_time;\n$input.item.json.agent_task = 'Clean Content';\nreturn $input.item;"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2000,
208
],
"id": "b432fc2f-c801-4b3a-8361-d0d8767c5bb0",
"name": "Set clean content duration"
},
{
"parameters": {
"dataTableId": {
"__rl": true,
"value": "GxOSCX2gt0Mz40IU",
"mode": "list",
"cachedResultName": "ai_workflow_metrics",
"cachedResultUrl": "/projects/kIpFOLTWQHjPaM8F/datatables/GxOSCX2gt0Mz40IU"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"workflow_name": "={{ $workflow.name }}",
"execution_id": "={{ $execution.id }}",
"agent_task": "={{ $('Set clean content duration').item.json.agent_task }}",
"duration_ms": "={{ $('Set clean content duration').item.json.duration_ms }}",
"model": "={{ $('Index file').item.json.model }}",
"source": "={{ $('Index file').item.json.Fichier.filename }} - page {{ $('Split pages').item.json.pageNumber || ($itemIndex + 1) }}",
"output": "={{ $('Clean Content').item.json.output }}",
"model_name": "={{\n $('Index file').item.json.model === 'local' ? \n \"qwen2.5:3b-instruct-q4_K_M\" :\n $('Index file').item.json.model === 'remote' ? \n \"qwen2.5:7b\" :\n $('Index file').item.json.model === 'openai' ? \n \"gpt-4o-mini\" : 'unknown'\n}}"
},
"matchingColumns": [],
"schema": [
{
"id": "workflow_name",
"displayName": "workflow_name",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "agent_task",
"displayName": "agent_task",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "duration_ms",
"displayName": "duration_ms",
"required": false,
"defaultMatch": false,
"display": true,
"type": "number",
"readOnly": false,
"removed": false
},
{
"id": "model",
"displayName": "model",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "model_name",
"displayName": "model_name",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "source",
"displayName": "source",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "output",
"displayName": "output",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "execution_id",
"displayName": "execution_id",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {
"optimizeBulk": true
}
},
"type": "n8n-nodes-base.dataTable",
"typeVersion": 1,
"position": [
2288,
288
],
"id": "a08a27a9-3e9e-406a-9a98-69d6fb60b8ce",
"name": "Insert Clean Content Execution time"
},
{
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "$input.item.json.start_time = Date.now();\n\nreturn $input.item;"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
224,
608
],
"id": "68a9eeb0-77ef-4c4a-a861-25f97eb62767",
"name": "Set web scraping start_time"
},
{
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "$input.item.json.duration_ms = Date.now() - $('Set web scraping start_time').item.json.start_time;\n$input.item.json.agent_task = 'Web Scraping';\nreturn $input.item;"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1232,
608
],
"id": "bc3f6273-27d4-444d-ab68-8a1c9fd79427",
"name": "Set web scraping duration"
},
{
"parameters": {
"dataTableId": {
"__rl": true,
"value": "GxOSCX2gt0Mz40IU",
"mode": "list",
"cachedResultName": "ai_workflow_metrics",
"cachedResultUrl": "/projects/kIpFOLTWQHjPaM8F/datatables/GxOSCX2gt0Mz40IU"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"workflow_name": "={{ $workflow.name }}",
"execution_id": "={{ $execution.id }}",
"agent_task": "={{ $('Set web scraping duration').item.json.agent_task }}",
"duration_ms": "={{ $('Set web scraping duration').item.json.duration_ms }}",
"model": "={{ $('Index Url').item.json.model }}",
"source": "={{ $('Index Url').item.json.Url }}",
"output": "={{ JSON.stringify($('Web Scraping').item.json.output) }}",
"model_name": "={{\n $('Index Url').item.json.model === 'remote' ? \n \"qwen2.5:7b\" :\n $('Index Url').item.json.model === 'openai' ? \n \"gpt-4o-mini\" : 'unknown'\n}}"
},
"matchingColumns": [],
"schema": [
{
"id": "workflow_name",
"displayName": "workflow_name",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "agent_task",
"displayName": "agent_task",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "duration_ms",
"displayName": "duration_ms",
"required": false,
"defaultMatch": false,
"display": true,
"type": "number",
"readOnly": false,
"removed": false
},
{
"id": "model",
"displayName": "model",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "model_name",
"displayName": "model_name",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "source",
"displayName": "source",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "output",
"displayName": "output",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "execution_id",
"displayName": "execution_id",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {
"optimizeBulk": true
}
},
"type": "n8n-nodes-base.dataTable",
"typeVersion": 1,
"position": [
1584,
608
],
"id": "950098b9-23ab-4149-b44f-0f758f22ac07",
"name": "Insert Web Scraping Execution time"
},
{
"parameters": {
"mode": "chooseBranch"
},
"type": "n8n-nodes-base.merge",
"typeVersion": 3.2,
"position": [
2512,
208
],
"id": "27f23bb2-6920-4684-9955-1aff60a696b1",
"name": "Merge"
},
{
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "$input.item.json.start_time = Date.now();\n\nreturn $input.item;"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
224,
1120
],
"id": "63478afc-c04b-478f-b488-f363855e595f",
"name": "Set web image analyse start_time"
},
{
"parameters": {
"mode": "runOnceForEachItem",
"jsCode": "$input.item.json.duration_ms = Date.now() - $('Set web image analyse start_time').item.json.start_time;\n$input.item.json.agent_task = 'Image Analyse';\nreturn $input.item;"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1232,
1120
],
"id": "c736dcff-002d-41dc-aa37-f7287877734b",
"name": "Set web image analyse duration"
},
{
"parameters": {
"dataTableId": {
"__rl": true,
"value": "GxOSCX2gt0Mz40IU",
"mode": "list",
"cachedResultName": "ai_workflow_metrics",
"cachedResultUrl": "/projects/kIpFOLTWQHjPaM8F/datatables/GxOSCX2gt0Mz40IU"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"workflow_name": "={{ $workflow.name }}",
"execution_id": "={{ $execution.id }}",
"agent_task": "={{ $('Set web image analyse duration').item.json.agent_task }}",
"duration_ms": "={{ $('Set web image analyse duration').item.json.duration_ms }}",
"source": "={{ $('Analyse Image').item.json.imageFichier.filename }}",
"model": "={{ $('Analyse Image').item.json.model }}",
"output": "={{ $('Analyse Image1').item.json.output }}",
"model_name": "={{ $('Analyse Image').item.json.model === 'local' ? \"granite3.2-vision:2b\" : $('Analyse Image').item.json.model === 'remote' ? \"granite3.2-vision:2b\" : $('Analyse Image').item.json.model === 'openai' ? \"gpt-4o-mini\" : 'unknown' }}"
},
"matchingColumns": [],
"schema": [
{
"id": "workflow_name",
"displayName": "workflow_name",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "agent_task",
"displayName": "agent_task",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "duration_ms",
"displayName": "duration_ms",
"required": false,
"defaultMatch": false,
"display": true,
"type": "number",
"readOnly": false,
"removed": false
},
{
"id": "model",
"displayName": "model",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "model_name",
"displayName": "model_name",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "source",
"displayName": "source",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "output",
"displayName": "output",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "execution_id",
"displayName": "execution_id",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {
"optimizeBulk": true
}
},
"type": "n8n-nodes-base.dataTable",
"typeVersion": 1,
"position": [
1584,
1120
],
"id": "03656a11-3370-4ba0-911f-bd46fc46e6ae",
"name": "Insert Image Analyse Execution time"
},
{
"parameters": {
"formTitle": "Analyse d'image",
"formDescription": "Analyse d'une image avec un mod\u00e8le multimodal",
"formFields": {
"values": [
{
"fieldLabel": "imageFichier",
"fieldType": "file",
"multipleFiles": false,
"acceptFileTypes": ".jpg, .png",
"requiredField": true
},
{
"fieldLabel": "model",
"fieldType": "dropdown",
"fieldOptions": {
"values": [
{
"option": "local"
},
{
"option": "remote"
},
{
"option": "openai"
}
]
},
"requiredField": true
}
]
},
"options": {}
},
"type": "n8n-nodes-base.formTrigger",
"typeVersion": 2.3,
"position": [
0,
1120
],
"id": "1936686c-9e97-4f65-94bc-a78514e5f408",
"name": "Analyse Image"
},
{
"parameters": {
"numberInputs": 3,
"rules": {
"rule": [
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "ac253c83-e230-4dc4-8321-26635c154859",
"leftValue": "={{ $('Analyse Image').item.json.model }}",
"rightValue": "local",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
}
},
{
"modelIndex": 2,
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "d6a99a37-231a-43a8-b8f4-d4c42b9ec441",
"leftValue": "={{ $('Analyse Image').item.json.model }}",
"rightValue": "remote",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
}
},
{
"modelIndex": 3,
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "bef31ca0-40a7-4bfd-8900-eb4b858af3e7",
"leftValue": "={{ $('Analyse Image').item.json.model }}",
"rightValue": "openai",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
}
}
]
}
},
"type": "@n8n/n8n-nodes-langchain.modelSelector",
"typeVersion": 1,
"position": [
656,
1344
],
"id": "42ad19a3-262b-47ea-9b9d-99c83268085b",
"name": "Model Selector Analyse IMage"
},
{
"parameters": {
"model": "granite3.2-vision:2b",
"options": {
"temperature": 0.4,
"keepAlive": "-1m"
}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOllama",
"typeVersion": 1,
"position": [
672,
1552
],
"id": "1e0af975-be93-4f64-b517-1f3031dc02fe",
"name": "Local Ollama Agent Analyse Model",
"credentials": {
"ollamaApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"promptType": "define",
"text": "={{ $('Analyse Image').item.json.imageFichier.filename }}",
"options": {
"systemMessage": "Tu es un analyseur d'image.\n\n**Instructions:**\n* D\u00e9cris moi ce que tu vois\n* Si l'image contient du texte essaie de l'extraire\n* Nettoie ce texte pour le rendre compr\u00e9hensible\n\n\n\n",
"passthroughBinaryImages": true
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 3,
"position": [
672,
1120
],
"id": "22fa5f16-e276-420a-88c1-c1685b98aff5",
"name": "Analyse Image1"
},
{
"parameters": {
"operation": "completion",
"completionTitle": "Analyse de l'image par le modele",
"completionMessage": "={{ $('Analyse Image1').item.json.output }}",
"options": {}
},
"type": "n8n-nodes-base.form",
"typeVersion": 2.3,
"position": [
2000,
1120
],
"id": "355c8346-606d-4607-9225-b664f9a85ca9",
"name": "Form"
},
{
"parameters": {
"rules": {
"rule": [
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "d6a99a37-231a-43a8-b8f4-d4c42b9ec441",
"leftValue": "={{ $('Index Url').item.json.model }}",
"rightValue": "remote",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
}
},
{
"modelIndex": 2,
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "bef31ca0-40a7-4bfd-8900-eb4b858af3e7",
"leftValue": "={{ $('Index Url').item.json.model }}",
"rightValue": "openai",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
}
}
]
}
},
"type": "@n8n/n8n-nodes-langchain.modelSelector",
"typeVersion": 1,
"position": [
448,
736
],
"id": "14031bba-7a67-46a7-a1db-a1e8723c497b",
"name": "Model Selector Web Scraping"
},
{
"parameters": {
"model": "granite3.2-vision:2b",
"options": {
"temperature": 0.4,
"keepAlive": "-1m"
}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOllama",
"typeVersion": 1,
"position": [
800,
1552
],
"id": "f7587822-4d53-4606-874c-f0561a390425",
"name": "Remote Ollama Analyse Agent Model",
"credentials": {
"ollamaApi": {
"name": "<your credential>"
}
}
}
],
"connections": {
"Index file": {
"main": [
[
{
"node": "Extract from File",
"type": "main",
"index": 0
}
]
]
},
"Extract from File": {
"main": [
[
{
"node": "Split pages",
"type": "main",
"index": 0
}
]
]
},
"Split pages": {
"main": [
[
{
"node": "Set clean content start_time",
"type": "main",
"index": 0
}
]
]
},
"Embeddings Ollama": {
"ai_embedding": [
[
{
"node": "Documents Qdrant Vector Store",
"type": "ai_embedding",
"index": 0
},
{
"node": "Web Documents Qdrant Vector Store1",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Filter Quality Content": {
"main": [
[
{
"node": "Documents Qdrant Vector Store",
"type": "main",
"index": 0
}
]
]
},
"Smart Text Chunker": {
"ai_textSplitter": [
[
{
"node": "Document Data Loader",
"type": "ai_textSplitter",
"index": 0
},
{
"node": "Web Document Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Local Ollama Agent Model": {
"ai_languageModel": [
[
{
"node": "Model Selector",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Remote Ollama Agent Model": {
"ai_languageModel": [
[
{
"node": "Model Selector",
"type": "ai_languageModel",
"index": 1
},
{
"node": "Model Selector Web Scraping",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Model Selector": {
"ai_languageModel": [
[
{
"node": "Clean Content",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Index Url": {
"main": [
[
{
"node": "Set web scraping start_time",
"type": "main",
"index": 0
}
]
]
},
"playwright_mcp": {
"ai_tool": [
[
{
"node": "Web Scraping",
"type": "ai_tool",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Structured Output Parser",
"type": "ai_languageModel",
"index": 0
},
{
"node": "Model Selector",
"type": "ai_languageModel",
"index": 2
},
{
"node": "Model Selector Analyse IMage",
"type": "ai_languageModel",
"index": 2
},
{
"node": "Model Selector Web Scraping",
"type": "ai_languageModel",
"index": 1
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Web Scraping",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Document Data Loader": {
"ai_document": [
[
{
"node": "Documents Qdrant Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Web Document Data Loader": {
"ai_document": [
[
{
"node": "Web Documents Qdrant Vector Store1",
"type": "ai_document",
"index": 0
}
]
]
},
"Clean Content": {
"main": [
[
{
"node": "Set clean content duration",
"type": "main",
"index": 0
}
]
]
},
"Web Scraping": {
"main": [
[
{
"node": "Set web scraping duration",
"type": "main",
"index": 0
}
]
]
},
"Set clean content start_time": {
"main": [
[
{
"node": "Clean Content",
"type": "main",
"index": 0
}
]
]
},
"Set clean content duration": {
"main": [
[
{
"node": "Insert Clean Content Execution time",
"type": "main",
"index": 0
},
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Insert Clean Content Execution time": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Set web scraping start_time": {
"main": [
[
{
"node": "Web Scraping",
"type": "main",
"index": 0
}
]
]
},
"Set web scraping duration": {
"main": [
[
{
"node": "Insert Web Scraping Execution time",
"type": "main",
"index": 0
}
]
]
},
"Insert Web Scraping Execution time": {
"main": [
[
{
"node": "Web Documents Qdrant Vector Store1",
"type": "main",
"index": 0
}
]
]
},
"Merge": {
"main": [
[
{
"node": "Filter Quality Content",
"type": "main",
"index": 0
}
]
]
},
"Set web image analyse start_time": {
"main": [
[
{
"node": "Analyse Image1",
"type": "main",
"index": 0
}
]
]
},
"Set web image analyse duration": {
"main": [
[
{
"node": "Insert Image Analyse Execution time",
"type": "main",
"index": 0
}
]
]
},
"Analyse Image": {
"main": [
[
{
"node": "Set web image analyse start_time",
"type": "main",
"index": 0
}
]
]
},
"Model Selector Analyse IMage": {
"ai_languageModel": [
[
{
"node": "Analyse Image1",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Local Ollama Agent Analyse Model": {
"ai_languageModel": [
[
{
"node": "Model Selector Analyse IMage",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Analyse Image1": {
"main": [
[
{
"node": "Set web image analyse duration",
"type": "main",
"index": 0
}
]
]
},
"Insert Image Analyse Execution time": {
"main": [
[
{
"node": "Form",
"type": "main",
"index": 0
}
]
]
},
"Model Selector Web Scraping": {
"ai_languageModel": [
[
{
"node": "Web Scraping",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Remote Ollama Analyse Agent Model": {
"ai_languageModel": [
[
{
"node": "Model Selector Analyse IMage",
"type": "ai_languageModel",
"index": 1
}
]
]
}
},
"active": true,
"settings": {
"executionOrder": "v1"
},
"versionId": "44093c18-c0b7-4048-a868-c2b8e16be1f5",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "lnZ6c49wc2TZHdlA",
"tags": []
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
ollamaApiopenAiApiqdrantApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Indexation. Uses formTrigger, embeddingsOllama, textSplitterRecursiveCharacterTextSplitter, modelSelector. Event-driven trigger; 36 nodes.
Source: https://github.com/antoninBr/talk-n8n-agent/blob/3e9a8a239d0da68cb53b785b32f30adb3c7dce7b/workflows/Indexation.json — original creator credit. Request a take-down →
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