Building Your First WhatsApp Chatbot — Workflow n8n
Aperçu
This n8n template builds a simple WhatsApp chabot acting as a Sales Agent. The Agent is backed by a product catalog vector store to better answer user's questions.
This template is intended to help introduce n8n users interested in building with WhatsApp.
How it works This template is in 2 parts: creating the product catalog vector store and building the WhatsApp AI chatbot. A product brochure is imported via HTTP request node and its text contents extracted. The text contents are then uploade
Nœuds utilisés
Aperçu du workflow
Comment ça fonctionne
- 1
Déclencheur
Le workflow démarre avec un déclencheur déclencheur.
- 2
Traitement
Les données transitent par 18 nœuds, connecting agent, documentdefaultdataloader, embeddingsopenai.
- 3
Sortie
Le workflow termine son automatisation et livre le résultat à la destination configurée.
Détails des nœuds (18)
HTTP Request
httpRequest
WhatsApp Business Cloud
AI Agent
n8n-nodes-langchain.agent
Embeddings OpenAI
n8n-nodes-langchain.embeddingsOpenAi
OpenAI Chat Model
n8n-nodes-langchain.lmChatOpenAi
Simple Memory
n8n-nodes-langchain.memoryBufferWindow
Recursive Character Text Splitter
n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter
Simple Vector Store
n8n-nodes-langchain.vectorStoreInMemory
Default Data Loader
n8n-nodes-langchain.documentDefaultDataLoader
Vector Store Question Answer Tool
n8n-nodes-langchain.toolVectorStore
Comment importer ce workflow
- 1Cliquez sur le bouton Télécharger JSON à droite pour enregistrer le fichier du workflow.
- 2Ouvrez votre instance n8n. Accédez à Workflows → Nouveau → Importer depuis un fichier.
- 3Sélectionnez le fichier
building-your-first-whatsapp-chatbottéléchargé et cliquez sur Importer. - 4Configurez les identifiants pour chaque nœud de service (clés API, OAuth, etc.).
- 5Cliquez sur Tester le workflow pour vérifier que tout fonctionne, puis activez-le.
Ou collez directement dans n8n → Importer depuis JSON :
Intégrations
Créé par
Jimleuk
@jimleuk
Tags
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