{
  "openruna_format": "flow-graph-v1",
  "title": "OpenAI Personal Shopper with RAG and WooCommerce",
  "slug": "openai-personal-shopper-with-rag-and-woocommerce-2",
  "source_filename": "1857_Woocommercetool_Manual_Automation_Webhook.json",
  "nodes": [
    {
      "id": "When chat message received",
      "name": "When chat message received",
      "integration": "@n8n/n8n-nodes-langchain.chat",
      "kind": "trigger"
    },
    {
      "id": "Window Buffer Memory",
      "name": "Window Buffer Memory",
      "integration": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "kind": "action"
    },
    {
      "id": "Calculator",
      "name": "Calculator",
      "integration": "@n8n/n8n-nodes-langchain.toolCalculator",
      "kind": "action"
    },
    {
      "id": "Edit Fields",
      "name": "Edit Fields",
      "integration": "set",
      "kind": "logic"
    },
    {
      "id": "OpenAI Chat Model",
      "name": "OpenAI Chat Model",
      "integration": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "kind": "action"
    },
    {
      "id": "RAG",
      "name": "RAG",
      "integration": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "kind": "action"
    },
    {
      "id": "Qdrant Vector Store",
      "name": "Qdrant Vector Store",
      "integration": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "kind": "action"
    },
    {
      "id": "Embeddings OpenAI",
      "name": "Embeddings OpenAI",
      "integration": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "kind": "action"
    },
    {
      "id": "OpenAI Chat Model1",
      "name": "OpenAI Chat Model1",
      "integration": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "kind": "action"
    },
    {
      "id": "personal_shopper",
      "name": "personal_shopper",
      "integration": "wooCommerceTool",
      "kind": "action"
    },
    {
      "id": "Information Extractor",
      "name": "Information Extractor",
      "integration": "@n8n/n8n-nodes-langchain.informationExtractor",
      "kind": "action"
    },
    {
      "id": "OpenAI Chat Model2",
      "name": "OpenAI Chat Model2",
      "integration": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "kind": "action"
    },
    {
      "id": "Google Drive2",
      "name": "Google Drive2",
      "integration": "googleDrive",
      "kind": "action"
    },
    {
      "id": "Google Drive1",
      "name": "Google Drive1",
      "integration": "googleDrive",
      "kind": "action"
    },
    {
      "id": "Embeddings OpenAI3",
      "name": "Embeddings OpenAI3",
      "integration": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "kind": "action"
    },
    {
      "id": "Default Data Loader2",
      "name": "Default Data Loader2",
      "integration": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "kind": "action"
    },
    {
      "id": "Token Splitter1",
      "name": "Token Splitter1",
      "integration": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
      "kind": "action"
    },
    {
      "id": "When clicking ‘Test workflow’",
      "name": "When clicking ‘Test workflow’",
      "integration": "manual",
      "kind": "trigger"
    },
    {
      "id": "HTTP Request",
      "name": "HTTP Request",
      "integration": "httpRequest",
      "kind": "action"
    },
    {
      "id": "Qdrant Vector Store1",
      "name": "Qdrant Vector Store1",
      "integration": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "kind": "action"
    },
    {
      "id": "AI Agent",
      "name": "AI Agent",
      "integration": "@n8n/n8n-nodes-langchain.agent",
      "kind": "action"
    }
  ],
  "edges": [
    {
      "from": "Edit Fields",
      "to": "Information Extractor"
    },
    {
      "from": "HTTP Request",
      "to": "Google Drive2"
    },
    {
      "from": "Google Drive1",
      "to": "Qdrant Vector Store1"
    },
    {
      "from": "Google Drive2",
      "to": "Google Drive1"
    },
    {
      "from": "Information Extractor",
      "to": "AI Agent"
    },
    {
      "from": "When chat message received",
      "to": "Edit Fields"
    },
    {
      "from": "When clicking ‘Test workflow’",
      "to": "HTTP Request"
    }
  ]
}