aio-01d4-stu/Last3Mon/71/answers/71-lab03-challenge-search.json

{
  "name": "answer · 71 Lab 03 challenge (rewrite query)",
  "nodes": [
    {
      "name": "Search webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 2,
      "position": [
        0,
        300
      ],
      "parameters": {
        "httpMethod": "POST",
        "path": "my-search",
        "responseMode": "responseNode",
        "options": {}
      }
    },
    {
      "name": "Has question?",
      "type": "n8n-nodes-base.if",
      "typeVersion": 2.2,
      "position": [
        200,
        300
      ],
      "parameters": {
        "conditions": {
          "options": {
            "caseSensitive": true,
            "leftValue": "",
            "typeValidation": "strict",
            "version": 2
          },
          "conditions": [
            {
              "id": "c0",
              "leftValue": "={{ $json.body.question }}",
              "rightValue": "",
              "operator": {
                "type": "string",
                "operation": "notEmpty",
                "singleValue": true
              }
            }
          ],
          "combinator": "and"
        },
        "options": {}
      }
    },
    {
      "name": "Reject empty",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.1,
      "position": [
        420,
        560
      ],
      "parameters": {
        "respondWith": "json",
        "responseBody": "{ \"error\": \"question is required\" }",
        "options": {
          "responseCode": 400
        }
      }
    },
    {
      "name": "Rewrite query",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 3.1,
      "position": [
        420,
        140
      ],
      "parameters": {
        "promptType": "define",
        "text": "={{ $('Search webhook').first().json.body.question }}",
        "options": {
          "systemMessage": "You rewrite an employee's question into a short search query for company IT policy documents, in Korean. Use the words a policy document would use (for example 암호·비번 → 비밀번호, 와이파이 → 공용 와이파이, 그만두면 → 퇴사, 깔다 → 설치, 챗GPT·제미나이·클로드 → 생성형 AI 서비스, 개인 메일로 보내다 → 외부로 보내다 · 첨부 파일, 폰 → 휴대폰). If the question has two topics, keep the topic about what to do with data or files. Keep numbers and names. Return only the query, one line.",
          "maxIterations": 2
        }
      }
    },
    {
      "name": "Rewrite model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1.2,
      "position": [
        380,
        -60
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "id",
          "value": "gpt-4.1-mini"
        },
        "options": {
          "temperature": 0
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "openAiCourse0001",
          "name": "OpenAI (.env)"
        }
      }
    },
    {
      "name": "Search policies",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreInMemory",
      "typeVersion": 1.3,
      "position": [
        640,
        300
      ],
      "parameters": {
        "mode": "load",
        "memoryKey": {
          "__rl": true,
          "mode": "list",
          "value": "my_policy_docs",
          "cachedResultName": "my_policy_docs"
        },
        "prompt": "={{ $json.output }}",
        "topK": "={{ $('Search webhook').first().json.body.top_k ?? 3 }}",
        "includeDocumentMetadata": true
      },
      "alwaysOutputData": true
    },
    {
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1.2,
      "position": [
        560,
        520
      ],
      "parameters": {
        "model": "text-embedding-3-large",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "openAiCourse0001",
          "name": "OpenAI (.env)"
        }
      }
    },
    {
      "name": "Build hits",
      "type": "n8n-nodes-base.code",
      "typeVersion": 2,
      "position": [
        860,
        300
      ],
      "parameters": {
        "jsCode": "// The search contract: { question, hits: [{ rank, source, title, section, score, text }], top_score, indexed }.\n// Always Output Data is on, so an empty store still gives one empty item: keep only items that have a document.\nconst question = $('Search webhook').first().json.body.question;\nconst hits = $input.all().filter(item => item.json.document).map((item, i) => ({\n  rank: i + 1, source: item.json.document.metadata?.source, title: item.json.document.metadata?.title, section: item.json.document.metadata?.section ?? '',\n  score: Math.round((item.json.score ?? 0) * 1000) / 1000, text: item.json.document.pageContent ?? '' }));\nreturn [{ json: { question, query: $('Rewrite query').first().json.output, hits, top_score: hits.length ? Math.max(...hits.map(hit => hit.score)) : 0, indexed: hits.length > 0 } }];"
      }
    },
    {
      "name": "Send result",
      "type": "n8n-nodes-base.respondToWebhook",
      "typeVersion": 1.1,
      "position": [
        1080,
        300
      ],
      "parameters": {
        "respondWith": "json",
        "responseBody": "={{ $json }}",
        "options": {}
      }
    }
  ],
  "connections": {
    "Search webhook": {
      "main": [
        [
          {
            "node": "Has question?",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Has question?": {
      "main": [
        [
          {
            "node": "Rewrite query",
            "type": "main",
            "index": 0
          }
        ],
        [
          {
            "node": "Reject empty",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Rewrite model": {
      "ai_languageModel": [
        [
          {
            "node": "Rewrite query",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Rewrite query": {
      "main": [
        [
          {
            "node": "Search policies",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Search policies",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Search policies": {
      "main": [
        [
          {
            "node": "Build hits",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Build hits": {
      "main": [
        [
          {
            "node": "Send result",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}