Vtiger CRM répond aux questions fréquentes avec DeepSeek LLM
Ceci est unContent Creation, Multimodal AIworkflow d'automatisation du domainecontenant 8 nœuds.Utilise principalement des nœuds comme If, Agent, ScheduleTrigger, VtigerNode, LmChatDeepSeek. Utiliser DeepSeek LLM et LangChain pour générer automatiquement des réponses aux FAQ dans Vtiger CRM
- •Aucun prérequis spécial, prêt à l'emploi après importation
Catégorie
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"name": "Vtiger CRM answer FAQ by DeepSeek LLM",
"tags": [],
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"name": "Vtiger",
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"position": [
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"parameters": {
"query_field": "select * from Faq where faqstatus='Draft' order by id desc limit 1;"
},
"credentials": {
"vtigerApi": {
"id": "GDVMGSZb4YFb0cMz",
"name": "SaadeddinTestCRM"
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"position": [
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"parameters": {
"operation": "update",
"element_field": "={\n \"faq_answer\": {{ JSON.stringify($json.output) }},\n\"faqstatus\": \"Published\"\n}",
"webservice_id_field": "={{ $('Vtiger').item.json.result[0].id }}"
},
"credentials": {
"vtigerApi": {
"id": "GDVMGSZb4YFb0cMz",
"name": "SaadeddinTestCRM"
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"leftValue": "={{ $json.result[0].id }}",
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"typeVersion": 2.2
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{
"id": "75eae6a3-c2f4-4e2e-ae8f-25dfcd836efa",
"name": "Agent IA",
"type": "@n8n/n8n-nodes-langchain.agent",
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"parameters": {
"text": "=Output as plain text, {{ $json.result[0].question }}",
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"promptType": "define"
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{
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"name": "DeepSeek Chat Model",
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"position": [
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"parameters": {
"options": {}
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"credentials": {
"deepSeekApi": {
"id": "EJnQFKwyggEiiD7g",
"name": "DeepSeek account"
}
},
"typeVersion": 1
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{
"id": "784b3e33-e62d-4ef6-80ac-b4d8a02a0b19",
"name": "Simple Mémoire",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
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"parameters": {
"sessionKey": "={{ $json.result[0].question }}",
"sessionIdType": "customKey"
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{
"id": "b2693d93-4f03-4692-8c5f-16e472b98b33",
"name": "Déclencheur planifié Every n Minutes",
"type": "n8n-nodes-base.scheduleTrigger",
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"parameters": {
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"type": "n8n-nodes-base.stickyNote",
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"parameters": {
"width": 816,
"height": 384,
"content": "### 🧠 Auto-Answer FAQ Drafts with AI \n**(Vtiger CRM + DeepSeek + LangChain)**\n\nThis workflow runs **every 1 minute** to:\n- 📥 Fetch the latest `Draft` FAQ from Vtiger CRM\n- 🤖 Use **DeepSeek LLM** via **LangChain** to generate a plain-text answer\n- 📤 Automatically update the FAQ with the answer and mark it as `Published`\n---\n> 💡 **Note:** \n> This workflow uses a custom **Vtiger CRM** node from the **Community Nodes** registry. \n> To install it in your self-hosted n8n:\n> 1. Go to `Settings` → `Community Nodes`\n> 2. Click **Install Node** then enter: \n> ```bash\n> n8n-nodes-vtiger-crm\n> ```\n---\n> ✅ Perfect for teams that want to auto-fill answers and speed up knowledge base publishing!"
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"connections": {
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"Simple Memory": {
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"type": "ai_memory",
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"c74887f0-da3d-4c7c-a87f-84087d37c320": {
"ai_languageModel": [
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"type": "ai_languageModel",
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"Schedule Trigger Every n Minutes": {
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}
}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 ?
Intermédiaire - Création de contenu, IA Multimodale
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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Ahmed Saadawi
@ahmedsaadawiCRM consultant and automation expert with 15+ years of experience building AI-powered, no-code workflows for sales, support, and operations. Open to collaboration or custom solutions — let’s connect!
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