🤖 귀하의 문서 + 구글 드라이브 + 제미니 + Qdrant의 AI 드라이브 RAG 채팅 로봇

• •HTTP Webhook 엔드포인트(n8n이 자동으로 생성)
• •Telegram Bot Token
• •Google Drive API 인증 정보
• •OpenAI API Key
• •Qdrant 서버 연결 정보
• •Google Gemini API Key

{
  "id": "8tusZTTtcyaiznEG",
  "meta": {
    "instanceId": "31e69f7f4a77bf465b805824e303232f0227212ae922d12133a0f96ffeab4fef",
    "templateCredsSetupCompleted": true
  },
  "name": "🤖 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant",
  "tags": [],
  "nodes": [
    {
      "id": "7ad5796b-d1a0-4cc1-bed6-105ff499beeb",
      "name": "데이터 로더",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        620,
        720
      ],
      "parameters": {
        "options": {
          "metadata": {
            "metadataValues": [
              {
                "name": "file_id",
                "value": "={{ $json.id }}"
              },
              {
                "name": "pubkey",
                "value": "={{ $json.name }}"
              },
              {
                "name": "=overarching_theme",
                "value": "={{ $('Extract Meta Data').item.json.output.overarching_theme }}"
              },
              {
                "name": "recurring_topics",
                "value": "={{ $('Extract Meta Data').item.json.output.recurring_topics }}"
              },
              {
                "name": "pain_points",
                "value": "={{ $('Extract Meta Data').item.json.output.pain_points }}"
              },
              {
                "name": "analytical_insights",
                "value": "={{ $('Extract Meta Data').item.json.output.analytical_insights }}"
              },
              {
                "name": "conclusion",
                "value": "={{ $('Extract Meta Data').item.json.output.conclusion }}"
              },
              {
                "name": "keywords",
                "value": "={{ $('Extract Meta Data').item.json.output.keywords }}"
              }
            ]
          }
        },
        "dataType": "binary",
        "binaryMode": "specificField"
      },
      "typeVersion": 1
    },
    {
      "id": "84986ee2-4d79-49e8-8778-b8a955cf2174",
      "name": "토큰 분할기",
      "type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
      "position": [
        720,
        860
      ],
      "parameters": {
        "chunkSize": 3000
      },
      "typeVersion": 1
    },
    {
      "id": "82aa7016-f3af-4de8-a410-b1c802041213",
      "name": "Qdrant 벡터 저장소",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
      "onError": "continueRegularOutput",
      "position": [
        540,
        520
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "qdrantCollection": {
          "__rl": true,
          "mode": "id",
          "value": "=nostr-damus-user-profiles"
        }
      },
      "credentials": {
        "qdrantApi": {
          "id": "DJQ4hVAVdWZytjr2",
          "name": "QdrantApi account"
        }
      },
      "executeOnce": false,
      "retryOnFail": true,
      "typeVersion": 1
    },
    {
      "id": "07f4d14a-1864-406b-946b-09c776e3038b",
      "name": "항목 순환 처리",
      "type": "n8n-nodes-base.splitInBatches",
      "onError": "continueRegularOutput",
      "position": [
        180,
        -140
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3
    },
    {
      "id": "b0f9b066-62de-41bc-afce-dcb4d20d100c",
      "name": "대기",
      "type": "n8n-nodes-base.wait",
      "position": [
        1020,
        840
      ],
      "webhookId": "237d7f8a-aead-479a-b813-f407d1f37fa5",
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "2a883003-f5ec-409e-97e4-809360ca11ed",
      "name": "'워크플로 테스트' 클릭 시",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -1160,
        -280
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "cfbb6b77-142f-4689-b051-436f40ababe6",
      "name": "Google Gemini 채팅 모델",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1120,
        -20
      ],
      "parameters": {
        "options": {
          "temperature": 0.4
        },
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "L9UNQHflYlyF9Ngd",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "c9c50387-64a3-473f-9ea7-509a301836a3",
      "name": "병합",
      "type": "n8n-nodes-base.merge",
      "position": [
        820,
        200
      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "combineBy": "combineAll"
      },
      "typeVersion": 3
    },
    {
      "id": "ea143b9f-9bd8-4f3f-8979-5a0fd2691e9d",
      "name": "메타데이터 추출",
      "type": "@n8n/n8n-nodes-langchain.informationExtractor",
      "position": [
        1020,
        -180
      ],
      "parameters": {
        "text": "={{ $json.data }}",
        "options": {
          "systemPromptTemplate": "You are an expert extraction algorithm.\nOnly extract relevant information from the text.\nIf you do not know the value of an attribute asked to extract, you may omit the attribute's value."
        },
        "attributes": {
          "attributes": [
            {
              "name": "overarching_theme",
              "description": "Summarize the main theme(s) discussed in the \"Overarching Theme\" section."
            },
            {
              "name": "recurring_topics",
              "description": "List the recurring topics mentioned in the \"Common Threads\" section as an array of strings."
            },
            {
              "name": "pain_points",
              "description": "Summarize the user's frustrations or challenges mentioned in the \"Pain Points\" section as an array of strings."
            },
            {
              "name": "analytical_insights",
              "description": "Extract a list of key analytical observations from the \"Analytical Insights\" section, including shifts in tone or behavior."
            },
            {
              "name": "conclusion",
              "description": "Summarize the conclusions drawn about the user’s threads and their overall focus."
            },
            {
              "name": "keywords",
              "description": "Generate a list of 10 keywords that capture the essence of the document (e.g., \"askNostr,\" \"decentralization,\" \"spam filtering\")."
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "2ddd778f-6676-4a4b-b592-536401831bc8",
      "name": "파일 내용 가져오기",
      "type": "n8n-nodes-base.extractFromFile",
      "position": [
        820,
        -180
      ],
      "parameters": {
        "options": {},
        "operation": "text"
      },
      "typeVersion": 1
    },
    {
      "id": "cdbb8bbc-967c-4f01-b844-4d31328153df",
      "name": "Google Drive에서 파일 다운로드",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        500,
        -180
      ],
      "parameters": {
        "fileId": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $json.id }}"
        },
        "options": {},
        "operation": "download"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "UhdXGYLTAJbsa0xX",
          "name": "Google Drive account"
        }
      },
      "typeVersion": 3
    },
    {
      "id": "399e196c-76ec-4077-aacc-f669173b0229",
      "name": "Google Drive 폴더에서 파일 ID 찾기",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        -620,
        -160
      ],
      "parameters": {
        "filter": {
          "driveId": {
            "mode": "list",
            "value": "My Drive"
          },
          "folderId": {
            "__rl": true,
            "mode": "id",
            "value": "={{ $json.folder_id }}"
          }
        },
        "options": {},
        "resource": "fileFolder",
        "returnAll": true
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "UhdXGYLTAJbsa0xX",
          "name": "Google Drive account"
        }
      },
      "typeVersion": 3
    },
    {
      "id": "3bc4f005-c6c8-4f73-816a-1573d6dfb62f",
      "name": "text-embeddings-3-large",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        480,
        720
      ],
      "parameters": {
        "model": "text-embedding-3-large",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "jEMSvKmtYfzAkhe6",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "5d42b34a-7156-4163-a2c4-a9cb3c984c96",
      "name": "Google 폴더 ID",
      "type": "n8n-nodes-base.set",
      "position": [
        -820,
        -160
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "e6f6188f-c895-4c8c-b39a-0ef55b490fd6",
              "name": "folder_id",
              "type": "string",
              "value": "[Your-Google-Folder-ID]"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "7be310c2-d30f-42a2-8f57-33c7b184e429",
      "name": "gpt-4o-mini1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -400,
        940
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "jEMSvKmtYfzAkhe6",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "18aacfd9-3f6e-4fba-9f68-d8cc95bc667b",
      "name": "파일 ID별 Qdrant 포인트 삭제",
      "type": "@n8n/n8n-nodes-langchain.code",
      "position": [
        -500,
        800
      ],
      "parameters": {
        "code": {
          "execute": {
            "code": "const { QdrantVectorStore } = require(\"@langchain/qdrant\");\nconst { OpenAIEmbeddings } = require(\"@langchain/openai\");\n\n// Qdrant connection details\nconst url = \"http://localhost:6333/\";\nconst apiKey = \"\";\n\n// OpenAI API configuration\nconst openAIApiKey = \"[Your-OpenAI-API-Key]\";\n\n// Get input data\nconst items = this.getInputData()[0];\n// console.log(items)\n\nconst collectionName =  items.json.qdrant_collection_name;\n// console.log(collectionName)\n\nasync function deleteDocumentsFromQdrant() {\n  try {\n    // Initialize OpenAI embeddings\n    const embeddings = new OpenAIEmbeddings({\n      model: \"text-embedding-3-large\",\n      openAIApiKey: openAIApiKey\n    });\n\n    // Connect to existing Qdrant collection\n    const vectorStore = await QdrantVectorStore.fromExistingCollection(embeddings, {\n      url: url,\n      apiKey: apiKey,\n      collectionName: collectionName,\n    });\n\n    const fileIds = items.json.appended_id.map(item => item);\n\n    console.log(fileIds)\n\n    // Delete points by fileId\n    const deletionResults = await Promise.all(fileIds.map(async (file_id) => {\n      const filter = {\n        must: [\n          {\n            key: \"metadata.file_id\",\n            match: { value: file_id }\n          }\n        ]\n      };\n\n      try {\n        // Access the underlying Qdrant client to perform the deletion\n        await vectorStore.client.delete(collectionName, { filter });\n        return { file_id, status: \"deleted\" };\n      } catch (error) {\n        console.error(`Error deleting documents for fileId ${file_id}:`, error);\n        return { file_id, status: \"error\", message: error.message };\n      }\n    }));\n\n    return deletionResults;\n  } catch (error) {\n    console.error(\"An error occurred during the deletion process:\", error);\n    return error.message;\n  }\n}\n\n// Execute the deletion process\ntry {\n  const result = await deleteDocumentsFromQdrant();\n  console.log(\"Deletion process completed:\", result);\n  return [];\n} catch (error) {\n  console.error(\"Failed to execute deletion process:\", error);\n  return [{ json: { error } }];\n}\n\n"
          }
        },
        "inputs": {
          "input": [
            {
              "type": "main",
              "required": true,
              "maxConnections": 1
            },
            {
              "type": "ai_languageModel",
              "required": true,
              "maxConnections": 1
            }
          ]
        },
        "outputs": {
          "output": [
            {
              "type": "main"
            }
          ]
        }
      },
      "typeVersion": 1
    },
    {
      "id": "329cec97-aac1-4714-97ce-add5915b1078",
      "name": "Qdrant 컬렉션 이름",
      "type": "n8n-nodes-base.set",
      "position": [
        -700,
        100
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "11fa71e9-6cbc-4183-9439-e3379b2b970e",
              "name": "qdrant_collection_name",
              "type": "string",
              "value": "nostr-damus-user-profiles"
            }
          ]
        }
      },
      "typeVersion": 3.4
    },
    {
      "id": "82e98da8-530d-4a3c-97e6-5e91ad644a46",
      "name": "파일 ID 목록",
      "type": "n8n-nodes-base.summarize",
      "position": [
        -700,
        280
      ],
      "parameters": {
        "options": {},
        "fieldsToSummarize": {
          "values": [
            {
              "field": "id",
              "aggregation": "append"
            }
          ]
        }
      },
      "typeVersion": 1.1
    },
    {
      "id": "f3def614-2709-4847-831d-d6a80c86ec1c",
      "name": "병합1",
      "type": "n8n-nodes-base.merge",
      "position": [
        -340,
        340
      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "combineBy": "combineByPosition"
      },
      "typeVersion": 3
    },
    {
      "id": "cfe399fb-8560-4ac4-98f7-4f539ae6a52c",
      "name": "병합2",
      "type": "n8n-nodes-base.merge",
      "position": [
        -80,
        -140
      ],
      "parameters": {},
      "typeVersion": 3
    },
    {
      "id": "1059da47-2abd-4884-b9c2-6b7d1623e31d",
      "name": "스티커 노트",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1280,
        560
      ],
      "parameters": {
        "color": 3,
        "width": 1180,
        "height": 760,
        "content": "## Prepare Qdrant Vector Store"
      },
      "typeVersion": 1
    },
    {
      "id": "2616e08f-070e-45b5-906f-40e832519aa2",
      "name": "Qdrant 포인트 삭제 확인",
      "type": "n8n-nodes-base.telegram",
      "position": [
        -1060,
        760
      ],
      "webhookId": "29aac1ac-9345-4e44-babf-ebcfae701d88",
      "parameters": {
        "chatId": "={{ $env.TELEGRAM_CHAT_ID }}",
        "message": "=WARNING - {{ $json.appended_id.length }} Records in the Qdrant vector store collection \"{{ $json.qdrant_collection_name }}\" will be deleted.  Are you sure you want to continue?  This action cannot be undone!",
        "options": {
          "limitWaitTime": {
            "values": {
              "resumeUnit": "minutes",
              "resumeAmount": 15
            }
          }
        },
        "operation": "sendAndWait",
        "approvalOptions": {
          "values": {
            "approvalType": "double"
          }
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "pAIFhguJlkO3c7aQ",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "9d167192-e87b-41be-87f2-d7ddf866bb8d",
      "name": "조건문",
      "type": "n8n-nodes-base.if",
      "position": [
        -1060,
        1000
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 2,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "20f530d6-fd55-420d-b8a9-70e5303f688e",
              "operator": {
                "type": "boolean",
                "operation": "true",
                "singleValue": true
              },
              "leftValue": "={{ $json.data.approved }}",
              "rightValue": ""
            }
          ]
        }
      },
      "typeVersion": 2.2
    },
    {
      "id": "1178f8cf-ece0-4b11-942d-18dd025da366",
      "name": "스티커 노트1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        320,
        420
      ],
      "parameters": {
        "color": 7,
        "width": 920,
        "height": 640,
        "content": "## Perform Qdrant Vector Store Operations"
      },
      "typeVersion": 1
    },
    {
      "id": "cbf17a08-2f4c-4605-8418-5bf93ade7cf4",
      "name": "거부 메시지 전송",
      "type": "n8n-nodes-base.telegram",
      "position": [
        -740,
        1120
      ],
      "webhookId": "382a3b43-b83f-47b1-a276-67c6b98a441a",
      "parameters": {
        "text": "Qdrant vector store upsert declined",
        "chatId": "={{ $env.TELEGRAM_CHAT_ID }}",
        "additionalFields": {
          "appendAttribution": false
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "pAIFhguJlkO3c7aQ",
          "name": "Telegram account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "890f478a-e000-418d-8582-4fef946e44d8",
      "name": "스티커 노트2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -900,
        -380
      ],
      "parameters": {
        "width": 480,
        "height": 840,
        "content": "## 🌟Workflow Config\n\n- Google Drive Folder Id\n- Qdrant Collection Name\n- List of Google Drive File Id's"
      },
      "typeVersion": 1
    },
    {
      "id": "d2bc2fed-c134-4e54-bd9d-69996be966a3",
      "name": "스티커 노트3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        740,
        -280
      ],
      "parameters": {
        "color": 6,
        "width": 640,
        "height": 420,
        "content": "## Extract Metadata for Qdrant Hybrid Search"
      },
      "typeVersion": 1
    },
    {
      "id": "61f3c21e-bc2a-47bc-8ab1-678b1f425ee3",
      "name": "스티커 노트4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        400,
        -280
      ],
      "parameters": {
        "color": 2,
        "width": 300,
        "height": 320,
        "content": "## Google Drive"
      },
      "typeVersion": 1
    },
    {
      "id": "61e608e4-ac6a-4131-9ca8-c46a5134bff9",
      "name": "스티커 노트5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        80,
        -360
      ],
      "parameters": {
        "color": 5,
        "width": 1360,
        "height": 1480,
        "content": "## ✨ Save Documents to Qdrant Vector Store"
      },
      "typeVersion": 1
    },
    {
      "id": "410681cb-e757-42c0-89de-902edbe998e3",
      "name": "스티커 노트6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -580,
        680
      ],
      "parameters": {
        "color": 5,
        "width": 420,
        "height": 400,
        "content": "## Delete From Qdrant Vector Store\nThis operation can not be undone!!!"
      },
      "typeVersion": 1
    },
    {
      "id": "238469ce-3710-4681-b1b2-200c1b699d5e",
      "name": "스티커 노트7",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1200,
        640
      ],
      "parameters": {
        "color": 4,
        "width": 380,
        "height": 520,
        "content": "## Human In The Loop\nUser must verify deletion of points from Qdrant vector store"
      },
      "typeVersion": 1
    },
    {
      "id": "0b2f6ff4-dd02-4f0e-b2eb-60b1ce736cf5",
      "name": "스티커 노트8",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1280,
        -380
      ],
      "parameters": {
        "color": 4,
        "width": 340,
        "height": 460,
        "content": "## 👍Start Here!"
      },
      "typeVersion": 1
    },
    {
      "id": "abde545b-1a23-4b3e-8046-335b9d0fa445",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "disabled": true,
      "position": [
        -1160,
        -100
      ],
      "webhookId": "3a30557f-9264-4bc8-a253-a9356677c791",
      "parameters": {
        "path": "upsert",
        "options": {}
      },
      "typeVersion": 2
    },
    {
      "id": "897d29af-719d-4fe7-93a9-44c693cc6547",
      "name": "AI 에이전트",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -600,
        -1200
      ],
      "parameters": {
        "text": "={{ $json.chatInput }}",
        "options": {
          "systemMessage": "=You are an intelligent assistant specialized in answering user questions using Nostr user profiles. Your primary goal is to provide precise, contextually relevant, and concise answers based on the tools and resources available.\n\n### TOOL\nUse the \"nostr_damus_user_profiles\" tool to:\n- perform semantic similarity searches and retrieve information from Nostr user profiles relevant to the user's query.\n- access detailed information about Nostr and/or Damus users when additional context or specifics are required.\n\n### Key Instructions\n1. **Response Guidelines**:\n   - Clearly explain how the retrieved information addresses the user's query, if applicable.\n   - If no relevant information is found, respond with: \"I cannot find the answer in the available resources.\"\n\n2. **Focus and Relevance**:\n   - Ensure all responses are directly aligned with the user's question.\n   - Avoid including extraneous details or relying solely on internal knowledge.\n"
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    },
    {
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      "name": "윈도우 버퍼 메모리",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
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        "contextWindowLength": 40
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      "typeVersion": 1.3
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      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
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    {
      "id": "12902fa9-5bcb-4e8b-ac13-7f4cb6e7e1d0",
      "name": "Google Gemini 채팅 모델1",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        -760,
        -1000
      ],
      "parameters": {
        "options": {
          "maxOutputTokens": 8192
        },
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "L9UNQHflYlyF9Ngd",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "1c5818d4-6251-4d14-8b4f-d1f3ddfbed38",
      "name": "text-embeddings-3-large1",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        -320,
        -840
      ],
      "parameters": {
        "model": "text-embedding-3-large",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "jEMSvKmtYfzAkhe6",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "80056067-5d2b-4ac7-8e69-e75bd66a1ad4",
      "name": "스티커 노트9",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -900,
        -1300
      ],
      "parameters": {
        "color": 5,
        "width": 860,
        "height": 680,
        "content": "## 🤖Retrieve Content from Qdrant Vector Store"
      },
      "typeVersion": 1
    },
    {
      "id": "b45b18e4-7773-4eec-837b-f43fc0eeb90c",
      "name": "스티커 노트10",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1280,
        -1300
      ],
      "parameters": {
        "color": 4,
        "width": 340,
        "height": 320,
        "content": "## 🗣️ Chat with Your Documents"
      },
      "typeVersion": 1
    },
    {
      "id": "8fe891dd-dee6-4abb-bc09-d90e6d7bf3cb",
      "name": "스티커 노트11",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1360,
        -480
      ],
      "parameters": {
        "color": 7,
        "width": 2880,
        "height": 1880,
        "content": "# Step 1 - Save Documents to Qdrant Vector Store"
      },
      "typeVersion": 1
    },
    {
      "id": "4a9bf716-3fc3-4ccc-b831-19a1afdb4588",
      "name": "스티커 노트12",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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        -1420
      ],
      "parameters": {
        "color": 7,
        "width": 1780,
        "height": 880,
        "content": "# Step 2 - Chat with Your Documents from Qdrant Vector Store"
      },
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    },
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      "id": "fccedfde-c5aa-4237-9d1c-feb9ebabf4f3",
      "name": "Google Drive",
      "type": "n8n-nodes-base.googleDrive",
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      "position": [
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      ],
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        "name": "=Nostr Chatbot - Avatar - {{ $now }}",
        "content": "={{ $json.output }}",
        "driveId": {
          "__rl": true,
          "mode": "list",
          "value": "My Drive"
        },
        "options": {},
        "folderId": {
          "__rl": true,
          "mode": "list",
          "value": "root",
          "cachedResultName": "/ (Root folder)"
        },
        "operation": "createFromText"
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      "name": "사용자 응답",
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        "assignments": {
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              "type": "string",
              "value": "={{ $json.output }}"
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      "type": "n8n-nodes-base.stickyNote",
      "position": [
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        "content": "## Save Chat History"
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      "name": "채팅 기록 업데이트",
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              "text": "=\n-------------------------------\n\n{{ $now }}\n\n{{ $('When chat message received').item.json.chatInput  }}\n\n{{ $json.output }}",
              "action": "insert"
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          ]
        },
        "operation": "update",
        "documentURL": "1ej_qLolUFp1h4eZkrb99T3DWQ3JOwXVEMS3VUjWyVf0"
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      "name": "Qdrant 벡터 저장소 도구",
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        "toolName": "nostr_damus_user_profiles",
        "toolDescription": "Retrieve information about Nostr or Damus users",
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          "mode": "list",
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      "credentials": {
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      "name": "OpenAI 채팅 모델",
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      "disabled": true,
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      "parameters": {
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      "credentials": {
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      "typeVersion": 1.2
    },
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      "name": "완료 메시지 전송",
      "type": "n8n-nodes-base.telegram",
      "position": [
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      ],
      "webhookId": "382a3b43-b83f-47b1-a276-67c6b98a441a",
      "parameters": {
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        "chatId": "={{ $env.TELEGRAM_CHAT_ID }}",
        "additionalFields": {
          "appendAttribution": false
        }
      },
      "credentials": {
        "telegramApi": {
          "id": "pAIFhguJlkO3c7aQ",
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    {
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      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "width": 700,
        "height": 1240,
        "content": "# 🤖 AI-Powered RAG Chatbot with Google Drive Integration\n\nThis workflow creates a powerful RAG (Retrieval-Augmented Generation) chatbot that can process, store, and interact with documents from Google Drive using Qdrant vector storage and Google's Gemini AI.\n\n## How It Works\n\n### Document Processing & Storage 📚\n- Retrieves documents from a specified Google Drive folder\n- Processes and splits documents into manageable chunks\n- Extracts metadata using AI for enhanced search capabilities\n- Stores document vectors in Qdrant for efficient retrieval\n\n### Intelligent Chat Interface 💬\n- Provides a conversational interface powered by Google Gemini\n- Uses RAG to retrieve relevant context from stored documents\n- Maintains chat history in Google Docs for reference\n- Delivers accurate, context-aware responses\n\n### Vector Store Management 🗄️\n- Features secure delete operations with human verification\n- Includes Telegram notifications for important operations\n- Maintains data integrity with proper version control\n- Supports batch processing of documents\n\n## Setup Steps\n\n1. Configure API Credentials:\n   - Set up Google Drive & Docs access\n   - Configure Gemini AI API\n   - Set up Qdrant vector store connection\n   - Add Telegram bot for notifications\n\n2. Configure Document Sources:\n   - Set Google Drive folder ID\n   - Define Qdrant collection name\n   - Set up document processing parameters\n\n3. Test and Deploy:\n   - Verify document processing\n   - Test chat functionality\n   - Confirm vector store operations\n   - Check notification system\n\n\nThis workflow is ideal for organizations needing to create intelligent chatbots that can access and understand large document repositories while maintaining context and providing accurate responses through RAG technology.\n"
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      "typeVersion": 1
    }
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  }
}