Automatisation WooCommerce avec n8n : assistant personnel AI

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          "sku": "={{ $('Information Extractor').item.json.output.SKU }}",
          "search": "={{ $('Information Extractor').item.json.output.keyword }}",
          "maxPrice": "={{ $('Information Extractor').item.json.output.price_max }}",
          "minPrice": "={{ $('Information Extractor').item.json.output.price_min }}",
          "stockStatus": "instock"
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        "content": "Replace the URL and Collection name with your own"
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        "width": 1301.621262458471,
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        "content": "## Step 1 \nCreate a collectiopn on your Qdrant instance. Then create a basic RAG system with documents uploaded to Google Drive and embedded in the Qdrant vector database"
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        "content": "## Step 1 \nCreate a basic RAG system with documents uploaded to Google Drive and embedded in the Qdrant vector database"
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        "content": "## Step 2 \nThe Information Extractor tries to understand if the request is related to products and if so, it extracts the useful information to filter the products available on WooCommerce by calling the \"personal_shopper\". If it is a general question, the RAG system is called"
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    "personal_shopper": {
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