AI团队automatisation股票基本面analyse - 问答flux de travail
Avancé
Ceci est unAIworkflow d'automatisation du domainecontenant 17 nœuds.Utilise principalement des nœuds comme Webhook, GoogleDrive, ManualTrigger, RespondToWebhook, LmChatOpenAi, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. AI团队automatisation股票基本面analyse - 问答flux de travail
Prérequis
- •Point de terminaison HTTP Webhook (généré automatiquement par n8n)
- •Informations d'identification Google Drive API
- •Clé API OpenAI
- •Informations de connexion au serveur Qdrant
Nœuds utilisés (17)
Catégorie
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
"meta": {
"instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "01730710-e299-4e66-93e9-6079fdf9b8b7",
"name": "Note adhésive1",
"type": "n8n-nodes-base.stickyNote",
"position": [
2120,
0
],
"parameters": {
"color": 6,
"width": 903.0896125323785,
"height": 733.5099670584011,
"content": "## Step 2: Setup the Q&A \n### The incoming message from the webhook is queried from the Supabase Vector Store. The response is provided in the response webhook. "
},
"typeVersion": 1
},
{
"id": "66aed89e-fd72-4067-82bf-d480be27e5d6",
"name": "Lors du clic sur \"Exécuter le workflow\"",
"type": "n8n-nodes-base.manualTrigger",
"position": [
840,
140
],
"parameters": {},
"typeVersion": 1
},
{
"id": "9dc8f2a7-eeff-4a35-be52-05c42b71eee4",
"name": "Google Drive",
"type": "n8n-nodes-base.googleDrive",
"position": [
1140,
140
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "list",
"value": "1LZezppYrWpMStr4qJXtoIX-Dwzvgehll",
"cachedResultUrl": "https://drive.google.com/file/d/1LZezppYrWpMStr4qJXtoIX-Dwzvgehll/view?usp=drivesdk",
"cachedResultName": "crowdstrike.pdf"
},
"options": {},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "yOwz41gMQclOadgu",
"name": "Google Drive account"
}
},
"typeVersion": 3
},
{
"id": "1dd3d3fd-6c2e-4e23-9c82-b0d07b199de3",
"name": "Note adhésive",
"type": "n8n-nodes-base.stickyNote",
"position": [
1100,
0
],
"parameters": {
"color": 6,
"width": 772.0680602743597,
"height": 732.3675002130781,
"content": "## Step 1: Upserting the PDF\n### Fetch file from Google Drive, split it into chunks and insert into Supabase index\n\n"
},
"typeVersion": 1
},
{
"id": "4796124f-bc12-4353-b7ea-ec8cd7653e68",
"name": "Note adhésive2",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
0
],
"parameters": {
"color": 6,
"width": 710.9124489067698,
"height": 726.4452519516944,
"content": "## Start here: Step-by Step Youtube Tutorial :star:\n\n[](https://www.youtube.com/watch?v=pMvizUx5n1g)\n"
},
"typeVersion": 1
},
{
"id": "1e2ecc88-c8c7-4687-a2a1-b20b0da9b772",
"name": "Chargeur de données par défaut",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
1400,
320
],
"parameters": {
"options": {
"splitPages": true
},
"dataType": "binary"
},
"typeVersion": 1
},
{
"id": "6dd8545d-df8c-49ff-acf6-f8c150723ee8",
"name": "Diviseur de texte récursif1",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
1400,
460
],
"parameters": {
"options": {},
"chunkSize": 3000,
"chunkOverlap": 200
},
"typeVersion": 1
},
{
"id": "6899e2d6-965a-40cd-a34f-a61de8fd32ef",
"name": "Base de données vectorielle Qdrant",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
1480,
140
],
"parameters": {
"mode": "insert",
"options": {},
"qdrantCollection": {
"__rl": true,
"mode": "id",
"value": "crowd"
}
},
"credentials": {
"qdrantApi": {
"id": "NyinAS3Pgfik66w5",
"name": "QdrantApi account"
}
},
"typeVersion": 1.1
},
{
"id": "6136c6fb-3d20-44a7-ab00-6c5671bafa10",
"name": "Lors de la réception d'un message de chat",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"disabled": true,
"position": [
2180,
120
],
"webhookId": "551107fb-b349-4e2b-a888-febe5e282734",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "c970f654-4c79-4637-bec0-73f79a01ab59",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
2180,
320
],
"webhookId": "55b825ad-8987-4618-ae92-d9b08966324b",
"parameters": {
"path": "19f5499a-3083-4783-93a0-e8ed76a9f742",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 2
},
{
"id": "e05e9046-de17-4ca1-b1ac-2502ee123e5f",
"name": "Chaîne de questions-réponses avec récupération",
"type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
"position": [
2420,
120
],
"parameters": {
"text": "={{ $json.chatInput || $json.body.input }}",
"options": {},
"promptType": "define"
},
"typeVersion": 1.5
},
{
"id": "ecf0d248-a8a9-45ed-8786-8864547f79b6",
"name": "Récupérateur de base de données vectorielle",
"type": "@n8n/n8n-nodes-langchain.retrieverVectorStore",
"position": [
2580,
320
],
"parameters": {
"topK": 5
},
"typeVersion": 1
},
{
"id": "4fb1d8ac-bc6f-4f99-965f-7d38ea0680e0",
"name": "Base de données vectorielle Qdrant1",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
2540,
460
],
"parameters": {
"options": {},
"qdrantCollection": {
"__rl": true,
"mode": "id",
"value": "={{ $json.body.company }}"
}
},
"credentials": {
"qdrantApi": {
"id": "NyinAS3Pgfik66w5",
"name": "QdrantApi account"
}
},
"typeVersion": 1.1
},
{
"id": "66868422-39c9-4e76-99b9-a77bb613b248",
"name": "Modèle de chat OpenAI",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
2420,
340
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "8gccIjcuf3gvaoEr",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "f290f809-3b4e-42e3-bfb5-d505566d9275",
"name": "Embeddings OpenAI1",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
2520,
580
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "8gccIjcuf3gvaoEr",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "c360f7b3-2ae4-4ebd-85ca-f64c3966e65d",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
1700,
320
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "8gccIjcuf3gvaoEr",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "9223d119-b5a7-40d4-b8da-f85951b52bde",
"name": "Répondre à Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
2840,
120
],
"parameters": {
"options": {},
"respondWith": "text",
"responseBody": "={{ $json.response.text }}"
},
"typeVersion": 1.1
}
],
"pinData": {},
"connections": {
"c970f654-4c79-4637-bec0-73f79a01ab59": {
"main": [
[
{
"node": "e05e9046-de17-4ca1-b1ac-2502ee123e5f",
"type": "main",
"index": 0
}
]
]
},
"9dc8f2a7-eeff-4a35-be52-05c42b71eee4": {
"main": [
[
{
"node": "6899e2d6-965a-40cd-a34f-a61de8fd32ef",
"type": "main",
"index": 0
}
]
]
},
"c360f7b3-2ae4-4ebd-85ca-f64c3966e65d": {
"ai_embedding": [
[
{
"node": "6899e2d6-965a-40cd-a34f-a61de8fd32ef",
"type": "ai_embedding",
"index": 0
}
]
]
},
"66868422-39c9-4e76-99b9-a77bb613b248": {
"ai_languageModel": [
[
{
"node": "e05e9046-de17-4ca1-b1ac-2502ee123e5f",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"f290f809-3b4e-42e3-bfb5-d505566d9275": {
"ai_embedding": [
[
{
"node": "4fb1d8ac-bc6f-4f99-965f-7d38ea0680e0",
"type": "ai_embedding",
"index": 0
}
]
]
},
"e05e9046-de17-4ca1-b1ac-2502ee123e5f": {
"main": [
[
{
"node": "9223d119-b5a7-40d4-b8da-f85951b52bde",
"type": "main",
"index": 0
}
]
]
},
"1e2ecc88-c8c7-4687-a2a1-b20b0da9b772": {
"ai_document": [
[
{
"node": "6899e2d6-965a-40cd-a34f-a61de8fd32ef",
"type": "ai_document",
"index": 0
}
]
]
},
"4fb1d8ac-bc6f-4f99-965f-7d38ea0680e0": {
"ai_vectorStore": [
[
{
"node": "ecf0d248-a8a9-45ed-8786-8864547f79b6",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"ecf0d248-a8a9-45ed-8786-8864547f79b6": {
"ai_retriever": [
[
{
"node": "e05e9046-de17-4ca1-b1ac-2502ee123e5f",
"type": "ai_retriever",
"index": 0
}
]
]
},
"6136c6fb-3d20-44a7-ab00-6c5671bafa10": {
"main": [
[
{
"node": "e05e9046-de17-4ca1-b1ac-2502ee123e5f",
"type": "main",
"index": 0
}
]
]
},
"66aed89e-fd72-4067-82bf-d480be27e5d6": {
"main": [
[
{
"node": "9dc8f2a7-eeff-4a35-be52-05c42b71eee4",
"type": "main",
"index": 0
}
]
]
},
"6dd8545d-df8c-49ff-acf6-f8c150723ee8": {
"ai_textSplitter": [
[
{
"node": "1e2ecc88-c8c7-4687-a2a1-b20b0da9b772",
"type": "ai_textSplitter",
"index": 0
}
]
]
}
}
}Foire aux questions
Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Avancé - Intelligence Artificielle
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
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Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds17
Catégorie1
Types de nœuds13
Description de la difficulté
Auteur
Derek Cheung
@derekcheungsaDerek is an engineer, instructor, and investor based in Canada. He is publicly building AI applications to solve real-world problems, leveraging his technical expertise to develop practical solutions.
Liens externes
Voir sur n8n.io →
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