{
  "meta": {
    "instanceId": "workflow-7349e8de",
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:58.276964",
    "updatedAt": "2025-09-29T07:07:58.276981",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "nodes": [
    {
      "id": "1eb82902-a1d6-4eff-82a2-26908a82cea2",
      "name": "When clicking \"Test workflow\"",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        720,
        320
      ],
      "parameters": {},
      "typeVersion": 1,
      "notes": "This manualTrigger node performs automated tasks as part of the workflow."
    },
    {
      "id": "e0031fc3-27f1-45d9-910b-4c07dd322115",
      "name": "Get This Week's Menu",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        992,
        370
      ],
      "parameters": {
        "url": "{{ $env.BASE_URL }}",
        "options": {}
      },
      "typeVersion": 4.2,
      "notes": "This httpRequest node performs automated tasks as part of the workflow."
    },
    {
      "id": "2c556cc7-7d4e-4d80-902f-9686e756ed8c",
      "name": "Extract Available Courses",
      "type": "n8n-nodes-base.code",
      "position": [
        992,
        650
      ],
      "parameters": {
        "jsCode": "const pageData = JSON.parse($input.first().json.data)\nreturn pageData.props.pageProps.ssrPayload.courses.slice(0, 10);"
      },
      "typeVersion": 2,
      "notes": "This code node performs automated tasks as part of the workflow."
    },
    {
      "id": "90c39db6-6116-4c37-8d48-a6d5e8f8c777",
      "name": "Extract Server Data",
      "type": "n8n-nodes-base.html",
      "position": [
        992,
        510
      ],
      "parameters": {
        "options": {
          "trimValues": false,
          "cleanUpText": true
        },
        "operation": "extractHtmlContent",
        "extractionValues": {
          "values": [
            {
              "key": "YOUR_CREDENTIAL_HERE",
              "cssSelector": "script#__NEXT_DATA__"
            }
          ]
        }
      },
      "typeVersion": 1.2,
      "notes": "This html node performs automated tasks as part of the workflow."
    },
    {
      "id": "fbd4ed97-0154-4991-bf16-d9c4cb3f4776",
      "name": "Get Course Metadata",
      "type": "n8n-nodes-base.set",
      "position": [
        1172,
        370
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "3c90fd1e-e9ac-49c1-a459-7cff8c87fe8d",
              "name": "name",
              "type": "string",
              "value": "={{ $json.recipe.name }}"
            },
            {
              "id": "c4f3a5df-346c-4e8d-90ba-a49ed6afdedf",
              "name": "cuisines",
              "type": "array",
              "value": "={{ $json.recipe.cuisines.map(item => item.name) }}"
            },
            {
              "id": "97917928-0956-497b-bb68-507df1783240",
              "name": "category",
              "type": "string",
              "value": "={{ $json.recipe.category.name }}"
            },
            {
              "id": "1e84cf1e-7ad7-4888-9606-d3f7a310ce5f",
              "name": "tags",
              "type": "array",
              "value": "={{ $json.recipe.tags.flatMap(tag => tag.preferences) }}"
            },
            {
              "id": "cf6e2174-e8cb-4935-8303-2f8ed067f510",
              "name": "nutrition",
              "type": "object",
              "value": "={{ $json.recipe.nutrition.reduce((acc,item) => ({ ...acc, [item.name]: item.amount + item.unit }), {}) }}"
            },
            {
              "id": "25ba3fe6-c2fa-4315-a2cb-112ec7e3620f",
              "name": "url",
              "type": "string",
              "value": "={{ $json.recipe.websiteUrl }}"
            },
            {
              "id": "8f444fb3-c2ee-4254-b505-440cca3c7b8b",
              "name": "id",
              "type": "string",
              "value": "={{ $json.recipe.id }}"
            }
          ]
        }
      },
      "typeVersion": 3.3,
      "notes": "This set node performs automated tasks as part of the workflow."
    },
    {
      "id": "5ab1a5fa-adc3-41e0-be6d-f680af301aca",
      "name": "Get Recipe",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1172,
        510
      ],
      "parameters": {
        "url": "{{ $env.BASE_URL }}",
        "options": {}
      },
      "typeVersion": 4.2,
      "notes": "This httpRequest node performs automated tasks as part of the workflow."
    },
    {
      "id": "5014dc62-8320-4968-b9bd-396a517a2b5c",
      "name": "Embeddings Mistral Cloud",
      "type": "n8n-nodes-base.noOp",
      "position": [
        1960,
        420
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "mistralCloudApi": {
          "id": "EIl2QxhXAS9Hkg37",
          "name": "Mistral Cloud account"
        }
      },
      "typeVersion": 1,
      "notes": "This embeddingsMistralCloud node performs automated tasks as part of the workflow."
    },
    {
      "id": "2a8fad89-f74b-4808-8cb6-97c6b46a53ee",
      "name": "Default Data Loader",
      "type": "n8n-nodes-base.noOp",
      "position": [
        2080,
        420
      ],
      "parameters": {
        "options": {
          "metadata": {
            "metadataValues": [
              {
                "name": "week",
                "value": "={{ $json.week }}"
              },
              {
                "name": "cuisine",
                "value": "={{ $json.cuisines }}"
              },
              {
                "name": "category",
                "value": "={{ $json.category }}"
              },
              {
                "name": "tag",
                "value": "={{ $json.tags }}"
              },
              {
                "name": "recipe_id",
                "value": "={{ $json.id }}"
              }
            ]
          }
        },
        "jsonData": "={{ $json.data }}",
        "jsonMode": "expressionData"
      },
      "typeVersion": 1,
      "notes": "This documentDefaultDataLoader node performs automated tasks as part of the workflow."
    },
    {
      "id": "44ceef5c-1d08-40d2-8ab4-227b551f72f5",
      "name": "Merge Course & Recipe",
      "type": "n8n-nodes-base.merge",
      "position": [
        1480,
        500
      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "combinationMode": "mergeByPosition"
      },
      "typeVersion": 2.1,
      "notes": "This merge node performs automated tasks as part of the workflow."
    },
    {
      "id": "b56bd85e-f182-49d1-aeb1-062e905c316a",
      "name": "Prepare Documents",
      "type": "n8n-nodes-base.set",
      "position": [
        1660,
        500
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "462567fe-02ec-4747-ae33-407d2bc6d776",
              "name": "data",
              "type": "string",
              "value": "=# {{ $json.name }}\n{{ $json.description.replaceAll('\\n\\n','\\n') }}\n\n# Website\n{{ $json.url }}\n\n## Ingredients\n{{ $json.ingredients.replaceAll('\\n\\n','\\n') }}\n\n## Utensils\n{{ $json.utensils }}\n\n## Nutrition\n{{ Object.keys($json.nutrition).map(key => `* ${key}: ${$json.nutrition[key]}`).join('\\n') }}\n\n## Instructions\n{{ $json.instructions.replaceAll('\\n\\n','\\n') }}"
            },
            {
              "id": "5738e420-abfe-4a85-b7ad-541cfc181563",
              "name": "cuisine",
              "type": "array",
              "value": "={{ $json.cuisines }}"
            },
            {
              "id": "349f46d4-e230-4da8-a118-50227ceb7233",
              "name": "category",
              "type": "string",
              "value": "={{ $json.category }}"
            },
            {
              "id": "9588b347-4469-4aa5-93a2-e7bf41b4c468",
              "name": "tag",
              "type": "array",
              "value": "={{ $json.tags }}"
            },
            {
              "id": "7ddab229-fa52-4d27-84e1-83ed47280d29",
              "name": "week",
              "type": "string",
              "value": "={{ $now.year }}-W{{ $now.weekNumber }}"
            },
            {
              "id": "13163e45-5699-4d25-af3d-4c7910dd2926",
              "name": "id",
              "type": "string",
              "value": "={{ $json.id }}"
            },
            {
              "id": "a0c5d599-ff2b-420d-9173-2baf9218abc5",
              "name": "name",
              "type": "string",
              "value": "={{ $json.name }}"
            }
          ]
        }
      },
      "typeVersion": 3.3,
      "notes": "This set node performs automated tasks as part of the workflow."
    },
    {
      "id": "6b800632-f320-4fc3-bd2a-6a062834343d",
      "name": "Recursive Character Text Splitter",
      "type": "n8n-nodes-base.noOp",
      "position": [
        2080,
        560
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1,
      "notes": "This textSplitterRecursiveCharacterTextSplitter node performs automated tasks as part of the workflow."
    },
    {
      "id": "df7f17a2-8b27-4203-a2ff-091aaf6609b8",
      "name": "Chat Trigger",
      "type": "n8n-nodes-base.noOp",
      "position": [
        2440,
        360
      ],
      "webhookId": "745056ec-2d36-4ac3-9c70-6ff0b1055d0a",
      "parameters": {},
      "typeVersion": 1,
      "notes": "This chatTrigger node performs automated tasks as part of the workflow."
    },
    {
      "id": "ee38effe-5929-421e-a3c5-b1055a755242",
      "name": "Extract Recipe Details",
      "type": "n8n-nodes-base.html",
      "position": [
        1172,
        650
      ],
      "parameters": {
        "options": {},
        "operation": "extractHtmlContent",
        "extractionValues": {
          "values": [
            {
              "key": "YOUR_CREDENTIAL_HERE",
              "cssSelector": "[data-test-id=\"recipe-description\"]"
            },
            {
              "key": "YOUR_CREDENTIAL_HERE",
              "cssSelector": "[data-test-id=\"ingredients-list\"]"
            },
            {
              "key": "YOUR_CREDENTIAL_HERE",
              "cssSelector": "[data-test-id=\"utensils\"]"
            },
            {
              "key": "YOUR_CREDENTIAL_HERE",
              "cssSelector": "[data-test-id=\"instructions\"]",
              "skipSelectors": "img,a"
            }
          ]
        }
      },
      "typeVersion": 1.2,
      "notes": "This html node performs automated tasks as part of the workflow."
    },
    {
      "id": "dede108f-2fde-49cb-8a0e-fa5786c59d4b",
      "name": "Qdrant Recommend API",
      "type": "n8n-nodes-base.noOp",
      "position": [
        2840,
        540
      ],
      "parameters": {
        "name": "get_recipe_recommendation",
        "fields": {
          "values": [
            {
              "name": "week",
              "stringValue": "={{ $now.year }}-W{{ $now.weekNumber }}"
            }
          ]
        },
        "schemaType": "manual",
        "workflowId": "={{ $workflow.id }}",
        "description": "Call this tool to get a recipe recommendation. Pass in the following params as a json object:\n* positives - a description of what the user wants to cook. This could be ingredients, flavours, utensils available, number of diners, type of meal etc.\n* negatives - a description of what the user wants to avoid in the recipe. This could be flavours to avoid, allergen considerations, conflicts with theme of meal etc.",
        "inputSchema": "{\n\"type\": \"object\",\n\"properties\": {\n\t\"positive\": {\n\t\t\"type\": \"string\",\n\t\t\"description\": \"a description of what the user wants to cook. This could be ingredients, flavours, utensils available, number of diners, type of meal etc.\"\n\t},\n   \"negative\": {\n    \"type\": \"string\",\n    \"description\": \"a description of what the user wants to avoid in the recipe. This could be flavours to avoid, allergen considerations, conflicts with theme of meal etc.\"\n  }\n}\n}",
        "specifyInputSchema": true
      },
      "typeVersion": 1.1,
      "notes": "This toolWorkflow node performs automated tasks as part of the workflow."
    },
    {
      "id": "5e703134-4dd9-464b-9ec9-dc6103907a1e",
      "name": "Execute Workflow Trigger",
      "type": "n8n-nodes-base.executeWorkflowTrigger",
      "position": [
        2420,
        940
      ],
      "parameters": {},
      "typeVersion": 1,
      "notes": "This executeWorkflowTrigger node performs automated tasks as part of the workflow."
    },
    {
      "id": "9fb5f4fd-3b38-4a35-8986-d3955754c8d1",
      "name": "Mistral Cloud Chat Model",
      "type": "n8n-nodes-base.noOp",
      "position": [
        2660,
        540
      ],
      "parameters": {
        "model": "mistral-large-2402",
        "options": {}
      },
      "credentials": {
        "mistralCloudApi": {
          "id": "EIl2QxhXAS9Hkg37",
          "name": "Mistral Cloud account"
        }
      },
      "typeVersion": 1,
      "notes": "This lmChatMistralCloud node performs automated tasks as part of the workflow."
    },
    {
      "id": "d38275e6-aede-4f1c-9b05-018f3cf4faab",
      "name": "Get Tool Response",
      "type": "n8n-nodes-base.set",
      "position": [
        3160,
        940
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "10b55200-4610-4e9b-8be7-d487c6b56a78",
              "name": "response",
              "type": "string",
              "value": "={{ JSON.stringify($json.result) }}"
            }
          ]
        }
      },
      "typeVersion": 3.3,
      "notes": "This set node performs automated tasks as part of the workflow."
    },
    {
      "id": "dc3ceb2f-3c64-4b42-aeca-ddcdb84abf12",
      "name": "Wait for Rate Limits",
      "type": "n8n-nodes-base.wait",
      "position": [
        2420,
        1080
      ],
      "webhookId": "e86d8ae4-3b0d-4c40-9d12-a11d6501a043",
      "parameters": {
        "amount": 1.1
      },
      "typeVersion": 1.1,
      "notes": "This wait node performs automated tasks as part of the workflow."
    },
    {
      "id": "ec36d6f8-c3da-4732-8d56-a092a3358864",
      "name": "Get Mistral Embeddings",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        2620,
        940
      ],
      "parameters": {
        "url": "{{ $env.API_BASE_URL }}",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "authentication": "{{ $credentials.predefinedCredentialType }}",
        "bodyParameters": {
          "parameters": [
            {
              "name": "model",
              "value": "mistral-embed"
            },
            {
              "name": "encoding_format",
              "value": "float"
            },
            {
              "name": "input",
              "value": "={{ [$json.query.positive, $json.query.negative].compact() }}"
            }
          ]
        },
        "nodeCredentialType": "YOUR_CREDENTIAL_HERE"
      },
      "credentials": {
        "mistralCloudApi": {
          "id": "EIl2QxhXAS9Hkg37",
          "name": "Mistral Cloud account"
        }
      },
      "typeVersion": 4.2,
      "notes": "This httpRequest node performs automated tasks as part of the workflow."
    },
    {
      "id": "aebcb860-d25c-4833-9e9d-0297101259c7",
      "name": "Use Qdrant Recommend API",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        2800,
        940
      ],
      "parameters": {
        "url": "{{ $env.BASE_URL }}",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "authentication": "{{ $credentials.predefinedCredentialType }}",
        "bodyParameters": {
          "parameters": [
            {
              "name": "strategy",
              "value": "average_vector"
            },
            {
              "name": "limit",
              "value": "={{ 3 }}"
            },
            {
              "name": "positive",
              "value": "={{ [$json.data[0].embedding] }}"
            },
            {
              "name": "negative",
              "value": "={{ [$json.data[1].embedding] }}"
            },
            {
              "name": "filter",
              "value": "={{ { \"must\": {\"key\": \"metadata.week\", \"match\": { \"value\": $('Execute Workflow Trigger').item.json.week } } } }}"
            },
            {
              "name": "with_payload",
              "value": "={{ true }}"
            },
            {
              "name": "group_by",
              "value": "metadata.recipe_id"
            },
            {
              "name": "group_size",
              "value": "={{ 3 }}"
            }
          ]
        },
        "nodeCredentialType": "YOUR_CREDENTIAL_HERE"
      },
      "credentials": {
        "qdrantApi": {
          "id": "NyinAS3Pgfik66w5",
          "name": "QdrantApi account"
        }
      },
      "typeVersion": 4.2,
      "notes": "This httpRequest node performs automated tasks as part of the workflow."
    },
    {
      "id": "2474c97d-0d85-4acc-a95e-2eb6494786dc",
      "name": "Get Recipes From DB",
      "type": "n8n-nodes-base.code",
      "position": [
        2980,
        940
      ],
      "parameters": {
        "language": "python",
        "pythonCode": "import sqlite3\ncon = sqlite3.connect(\"hello_fresh_1.db\")\n\nrecipe_ids = list(set([group.id for group in _input.all()[0].json.result.groups if group.hits[0].score > 0.5]))\nplaceholders = ','.join(['?' for i in range(0,len(recipe_ids))])\n\ncur = con.cursor()\nres = cur.execute(f'SELECT * FROM recipes WHERE id IN ({placeholders})', recipe_ids)\nrows = res.fetchall()\n\ncon.close()\n\nreturn [{ \"result\": [row[2] for row in rows] }]"
      },
      "typeVersion": 2,
      "notes": "This code node performs automated tasks as part of the workflow."
    },
    {
      "id": "54229c2a-6e26-4350-8a94-57f415ef2340",
      "name": "Save Recipes to DB",
      "type": "n8n-nodes-base.code",
      "position": [
        1960,
        940
      ],
      "parameters": {
        "language": "python",
        "pythonCode": "import sqlite3\ncon = sqlite3.connect(\"hello_fresh_1.db\")\n\ncur = con.cursor()\ncur.execute(\"CREATE TABLE IF NOT EXISTS recipes (id TEXT PRIMARY KEY, name TEXT, data TEXT, cuisine TEXT, category TEXT, tag TEXT, week TEXT);\")\n\nfor item in _input.all():\n  cur.execute('INSERT OR REPLACE INTO recipes VALUES(?,?,?,?,?,?,?)', (\n    item.json.id,\n    item.json.name,\n    item.json.data,\n    ','.join(item.json.cuisine),\n    item.json.category,\n    ','.join(item.json.tag),\n    item.json.week\n  ))\n\ncon.commit()\ncon.close()\n\nreturn [{ \"affected_rows\": len(_input.all()) }]"
      },
      "typeVersion": 2,
      "notes": "This code node performs automated tasks as part of the workflow."
    },
    {
      "id": "725c1f56-5373-4891-92b9-3f32dd28892b",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        901.1666225087287,
        180.99920515712074
      ],
      "parameters": {
        "color": 7,
        "width": 484.12381677448207,
        "height": 674.1153489831718,
        "content": "## Step 1. Fetch Available Courses For the Current Week\n\nTo populate our vectorstore, we'll scrape the weekly menu off the HelloFresh Website. The pages are quite large so may take a while so please be patient."
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "f4e882b8-3762-4e6b-9e95-b0d708d0c284",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1420,
        300
      ],
      "parameters": {
        "color": 7,
        "width": 409.1756468632768,
        "height": 398.81415970574335,
        "content": "## Step 2. Create Recipe Documents For VectorStore\n\nTo populate our vectorstore, we'll scrape the weekly menu off the HelloFresh Website. The pages are quite large so may take a while so please be patient."
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "fc3c2221-b67c-451c-9096-d6acd2a297fa",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1860,
        19.326425127730317
      ],
      "parameters": {
        "color": 7,
        "width": 486.02284096214964,
        "height": 690.7816167755491,
        "content": "## Step 3. Vectorise Recipes For Recommendation Engine\n[Read more about Qdrant node]({{ $env.WEBHOOK_URL }}\n\nWe'll store our documents in our Qdrant vectorstore by converting to vectors using Mistral Embed. Our goal is to a build a recommendation engine for meals of the week which Qdrant is a perfect solution."
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "43296173-b929-46cc-b6ea-58007837b8df",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1740,
        740
      ],
      "parameters": {
        "color": 7,
        "width": 547.0098868353456,
        "height": 347.6002738958705,
        "content": "## Step 4. Save Original Document to Database\n[Read more about Code Node]({{ $env.WEBHOOK_URL }}\n\nFinally, let's have the original document stored in a more traditional datastore. USually our vectorsearch will return partial docs and those are enough for many use-cases, however in this instance we'll pull the full docs for the Agent get the info required to make the recommendation. "
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "6e2e58d2-e0ad-4503-8ed6-891124c8035b",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2380,
        160
      ],
      "parameters": {
        "color": 7,
        "width": 673.6008766895472,
        "height": 552.9202706743265,
        "content": "## 5. Chat with Our HelloFresh Recommendation AI Agent\n[Read more about AI Agents]({{ $env.WEBHOOK_URL }}\n\nThis agent is designed to recommend HelloFresh recipes based on your current taste preferences. Need something hot and spicy, warm and comforting or fast and chilled? This agent will capture what you would like and not like and queries our Recipe Recommendation engine powered by Qdrant Vectorstore."
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "ba692c21-38bc-48a1-8b40-bad298be8b9e",
      "name": "AI Agent",
      "type": "n8n-nodes-base.noOp",
      "position": [
        2660,
        360
      ],
      "parameters": {
        "options": {
          "systemMessage": "=You are a recipe bot for the company, \"Hello fresh\". You will help the user choose which Hello Fresh recipe to choose from this week's menu. The current week is {{ $now.year }}-W{{ $now.weekNumber }}.\nDo not recommend any recipes other from the current week's menu. If there are no recipes to recommend, please ask the user to visit the website instead {{ $env.WEBHOOK_URL }}"
        }
      },
      "typeVersion": 1.6,
      "notes": "This agent node performs automated tasks as part of the workflow."
    },
    {
      "id": "d7ca0f97-72dc-4f4c-8b46-3ff57b9068a4",
      "name": "Sticky Note5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2320,
        740
      ],
      "parameters": {
        "color": 7,
        "width": 987.4785537889618,
        "height": 531.9173034334732,
        "content": "## 5. Using Qdrant's Recommend API & Grouping Functionality\n[Read more about Qdrant's Recommend API]({{ $env.WEBHOOK_URL }}\n\nUnlike basic similarity search, Qdrant's Recommend API takes a positive query to match against (eg. Roast Dinner) and a negative query to avoid (eg. Roast Chicken). This feature significantly improves results for a recommendation engine. Additionally, by utilising Qdrant's Grouping feature, we're able to group similar matches from the same recipe - meaning we can ensure unique recipes everytime."
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "96a294e2-1437-4ded-9973-0999b444c999",
      "name": "Sticky Note6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        440,
        -40
      ],
      "parameters": {
        "width": 432.916474478624,
        "height": 542.9295980774649,
        "content": "## Try it out!\n### This workflow does the following:\n* Fetches and stores this week's HelloFresh's menu\n* Builds the foundation of a recommendation engine by storing the recipes in a Qdrant Vectorstore and SQLite database.\n* Builds an AI Agent that allows for a chat interface to query for a the week's recipe recommendations.\n* AI agent uses the Qdrant Recommend API, providing what the user likes/dislikes as the query.\n* Qdrant returns the results which enable the AI Agent to make the recommendation to the user.\n\n### Need Help?\nJoin the [Discord]({{ $env.WEBHOOK_URL }} or ask in the [Forum]({{ $env.WEBHOOK_URL }}\n\nHappy Hacking!"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "72c98600-f21a-42d4-97be-836b8ef6dc77",
      "name": "Qdrant Vector Store",
      "type": "n8n-nodes-base.noOp",
      "position": [
        1960,
        240
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "qdrantCollection": {
          "__rl": true,
          "mode": "list",
          "value": "hello_fresh",
          "cachedResultName": "hello_fresh"
        }
      },
      "credentials": {
        "qdrantApi": {
          "id": "NyinAS3Pgfik66w5",
          "name": "QdrantApi account"
        }
      },
      "typeVersion": 1,
      "notes": "This vectorStoreQdrant node performs automated tasks as part of the workflow."
    },
    {
      "id": "b7c4b597-ac2b-41d7-8f0f-1cbba25085de",
      "name": "Sticky Note7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1860,
        -195.8987124522777
      ],
      "parameters": {
        "width": 382.47301504497716,
        "height": 195.8987124522777,
        "content": "### 🚨Ensure Qdrant collection exists!\nYou'll need to run the following command in Qdrant:\n```\nPUT collections/hello_fresh\n{\n  \"vectors\": {\n    \"distance\": \"Cosine\",\n    \"size\": 1024\n  }\n}\n```"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "39191834-ecc2-46f0-a31a-0a7e9c47ac5d",
      "name": "Sticky Note8",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2740,
        920
      ],
      "parameters": {
        "width": 213.30551928619226,
        "height": 332.38559808882246,
        "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n### 🚨Configure Your Qdrant Connection\n* Be sure to enter your endpoint address"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    }
  ],
  "pinData": {},
  "connections": {
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  },
  "name": "Manualtrigger Workflow",
  "settings": {
    "executionOrder": "v1",
    "saveManualExecutions": true,
    "callerPolicy": "workflowsFromSameOwner",
    "errorWorkflow": null,
    "timezone": "UTC",
    "executionTimeout": 3600,
    "maxExecutions": 1000,
    "retryOnFail": true,
    "retryCount": 3,
    "retryDelay": 1000
  },
  "description": "Automated workflow: Manualtrigger Workflow. This workflow integrates 18 different services: stickyNote, httpRequest, embeddingsMistralCloud, wait, textSplitterRecursiveCharacterTextSplitter. It contains 41 nodes and follows best practices for error handling and security.",
  "tags": [
    "automation",
    "n8n",
    "production-ready",
    "excellent",
    "optimized"
  ],
  "notes": "Excellent quality workflow: Manualtrigger Workflow. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."
}