Sistema RAG completo con Qdrant, con actualización automática de documentos
Este es unAI RAG, Multimodal AIflujo de automatización del dominio deautomatización que contiene 32 nodos.Utiliza principalmente nodos como Set, Wait, GoogleDrive, HttpRequest, ManualTrigger. Construye un sistema RAG autoactualizable usando OpenAI, Google Gemini, Qdrant y Google Drive
- •Credenciales de API de Google Drive
- •Pueden requerirse credenciales de autenticación para la API de destino
- •Clave de API de OpenAI
- •Información de conexión del servidor Qdrant
- •Clave de API de Google Gemini
Nodos utilizados (32)
Categoría
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"parameters": {
"url": "http:///collections/test_sparse",
"method": "PUT",
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"jsonBody": "{\n \"vectors\": {\n \"size\": 1536,\n \"distance\": \"Cosine\" \n },\n \"sparse_vectors\": {\n \"text\": { }\n },\n \"shard_number\": 1, \n \"replication_factor\": 1, \n \"write_consistency_factor\": 1 \n}",
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"name": "Limpiar colección",
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"parameters": {
"url": "http://QDRANTURL/collections/COLLECTION/points/delete",
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"filter": {
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"mode": "list",
"value": "My Drive",
"cachedResultUrl": "https://drive.google.com/drive/my-drive",
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"value": "1RO5ByPhq2yvYLmbapTNC_kKdU5lZd4W5",
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"name": "Esperar 5 seg.",
"type": "n8n-nodes-base.wait",
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"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
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"name": "Obtener archivo",
"type": "n8n-nodes-base.googleDrive",
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"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.file_id }}"
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"docsToFormat": "text/plain"
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"operation": "download"
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"name": "Google Drive account (n3w.it)"
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"name": "Obtener archivos",
"type": "n8n-nodes-base.googleDrive",
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"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.id }}"
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"content": "## Complete RAG System with autoUpdate documents Using Qdrant\n\nThis workflow implements a **Retrieval-Augmented Generation (RAG)** system that:\n\n* Stores vectorized documents in **Qdrant**,\n* Retrieves relevant content based on user input,\n* Generates AI answers using **Google Gemini**,\n* Automatically **update documents** (from Google Drive).\n"
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"name": "Cuando se recibe mensaje de chat",
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"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
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"parameters": {
"options": {},
"modelName": "models/gemini-1.5-flash"
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"name": "Google Gemini(PaLM) Api account"
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},
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"name": "Vector Store Retriever",
"type": "@n8n/n8n-nodes-langchain.retrieverVectorStore",
"position": [
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"parameters": {
"topK": 5
},
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"name": "Qdrant Vector Store1",
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"qdrantCollection": {
"__rl": true,
"mode": "list",
"value": "negozio-emporio-verde",
"cachedResultName": "negozio-emporio-verde"
}
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"qdrantApi": {
"id": "iyQ6MQiVaF3VMBmt",
"name": "QdrantApi account (Hetzner)"
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"name": "Embeddings OpenAI",
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"openAiApi": {
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"name": "OpenAi account"
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"type": "n8n-nodes-base.stickyNote",
"position": [
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"parameters": {
"width": 520,
"height": 420,
"content": "Set as metadata:\n- FILE_ID from Google Drive\n- FILE_NAME from Google Drive\n\n```\n{\n \"source\": \"blob\",\n \"blobType\": \"text/plain\",\n \"loc\": {\n \"lines\": {\n \"from\": 1,\n \"to\": 15\n }\n },\n \"file_id\": \"xxxxxxxxxxxxxxxxxxxxxxxxxx\",\n \"file_name\": \"FAQ\"\n}\n```\n\n\n"
},
"typeVersion": 1
},
{
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"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
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"color": 4,
"width": 540,
"height": 460,
"content": "# STEP 2\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Documents vectorization with Qdrant and Google Drive\nChange:\n- QDRANTURL\n- COLLECTION"
},
"typeVersion": 1
},
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"id": "c551c56f-e43d-45dd-922e-da0858008486",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
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"parameters": {
"color": 6,
"width": 880,
"height": 220,
"content": "# STEP 1\n\n## Create Qdrant Collection\nChange:\n- QDRANTURL\n- COLLECTION"
},
"typeVersion": 1
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"type": "n8n-nodes-base.stickyNote",
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"parameters": {
"width": 520,
"height": 420,
"content": "Set as metadata:\n- FILE_ID from Google Drive\n- FILE_NAME from Google Drive\n\n```\n{\n \"source\": \"blob\",\n \"blobType\": \"text/plain\",\n \"loc\": {\n \"lines\": {\n \"from\": 1,\n \"to\": 15\n }\n },\n \"file_id\": \"xxxxxxxxxxxxxxxxxxxxxxxxxx\",\n \"file_name\": \"FAQ\"\n}\n```\n\n\n"
},
"typeVersion": 1
},
{
"id": "6fa1eb40-51ec-41c2-aa67-620152e0ba6f",
"name": "¿Actualizar?",
"type": "n8n-nodes-base.googleDriveTrigger",
"position": [
-416,
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],
"parameters": {
"event": "fileUpdated",
"options": {
"fileType": "all"
},
"pollTimes": {
"item": [
{
"mode": "everyHour"
}
]
},
"triggerOn": "specificFolder",
"folderToWatch": {
"__rl": true,
"mode": "list",
"value": "1RO5ByPhq2yvYLmbapTNC_kKdU5lZd4W5",
"cachedResultUrl": "https://drive.google.com/drive/folders/1RO5ByPhq2yvYLmbapTNC_kKdU5lZd4W5",
"cachedResultName": "Test Negozio"
}
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "HEy5EuZkgPZVEa9w",
"name": "Google Drive account (n3w.it)"
}
},
"typeVersion": 1
},
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"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
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688
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"parameters": {
"color": 4,
"width": 400,
"height": 440,
"content": "# STEP 3\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Documents vectorization with Qdrant and Google Drive\nChange:\n- QDRANTURL\n- COLLECTION"
},
"typeVersion": 1
},
{
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"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
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"parameters": {
"color": 2,
"width": 580,
"height": 120,
"content": "# STEP 4\n\nTry RAG"
},
"typeVersion": 1
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],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
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}¿Cómo usar este flujo de trabajo?
Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.
¿En qué escenarios es adecuado este flujo de trabajo?
Avanzado - RAG de IA, IA Multimodal
¿Es de pago?
Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.
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Davide
@n3witaliaFull-stack Web Developer based in Italy specialising in Marketing & AI-powered automations. For business enquiries, send me an email at info@n3w.it or add me on Linkedin.com/in/davideboizza
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