RAG Chatbot for Google Drive Docs with Gemini

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

{
  "id": "wfddae98cf4469",
  "meta": {
    "versionId": "1.0.0",
    "createdAt": "2025-09-29T07:07:56.746656",
    "updatedAt": "2025-09-29T07:07:56.746667",
    "owner": "n8n-user",
    "license": "MIT",
    "category": "automation",
    "status": "active",
    "priority": "high",
    "environment": "production"
  },
  "name": "\ud83e\udd16 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant",
  "nodes": [
    {
      "id": "7ad5796b-d1a0-4cc1-bed6-105ff499beeb",
      "name": "Data Loader",
      "type": "n8n-nodes-base.noOp",
      "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,
      "notes": "This documentDefaultDataLoader node performs automated tasks as part of the workflow."
    },
    {
      "id": "84986ee2-4d79-49e8-8778-b8a955cf2174",
      "name": "Token Splitter",
      "type": "n8n-nodes-base.noOp",
      "position": [
        720,
        860
      ],
      "parameters": {
        "chunkSize": 3000
      },
      "typeVersion": 1,
      "notes": "This textSplitterTokenSplitter node performs automated tasks as part of the workflow."
    },
    {
      "id": "82aa7016-f3af-4de8-a410-b1c802041213",
      "name": "Qdrant Vector Store",
      "type": "n8n-nodes-base.noOp",
      "onError": "continueRegularOutput",
      "position": [
        540,
        520
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "qdrantCollection": {
          "__rl": true,
          "mode": "id",
          "value": "=nostr-damus-user-profiles"
        }
      },
      "credentials": {
        "qdrantApi": {
          "name": "<your credential>"
        }
      },
      "executeOnce": false,
      "retryOnFail": true,
      "typeVersion": 1,
      "notes": "This vectorStoreQdrant node performs automated tasks as part of the workflow."
    },
    {
      "id": "07f4d14a-1864-406b-946b-09c776e3038b",
      "name": "Loop Over Items",
      "type": "n8n-nodes-base.splitInBatches",
      "onError": "continueRegularOutput",
      "position": [
        180,
        -140
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 3,
      "notes": "This splitInBatches node performs automated tasks as part of the workflow."
    },
    {
      "id": "b0f9b066-62de-41bc-afce-dcb4d20d100c",
      "name": "Wait",
      "type": "n8n-nodes-base.wait",
      "position": [
        1020,
        840
      ],
      "parameters": {},
      "typeVersion": 1.1,
      "notes": "This wait node performs automated tasks as part of the workflow."
    },
    {
      "id": "2a883003-f5ec-409e-97e4-809360ca11ed",
      "name": "When clicking \u2018Test workflow\u2019",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        -1160,
        -280
      ],
      "parameters": {},
      "typeVersion": 1,
      "notes": "This manualTrigger node performs automated tasks as part of the workflow."
    },
    {
      "id": "cfbb6b77-142f-4689-b051-436f40ababe6",
      "name": "Google Gemini Chat Model",
      "type": "n8n-nodes-base.noOp",
      "position": [
        1120,
        -20
      ],
      "parameters": {
        "options": {
          "temperature": 0.4
        },
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1,
      "notes": "This lmChatGoogleGemini node performs automated tasks as part of the workflow."
    },
    {
      "id": "c9c50387-64a3-473f-9ea7-509a301836a3",
      "name": "Merge",
      "type": "n8n-nodes-base.merge",
      "position": [
        820,
        200
      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "combineBy": "combineAll"
      },
      "typeVersion": 3,
      "notes": "This merge node performs automated tasks as part of the workflow."
    },
    {
      "id": "ea143b9f-9bd8-4f3f-8979-5a0fd2691e9d",
      "name": "Extract Meta Data",
      "type": "n8n-nodes-base.noOp",
      "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\u2019s 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,
      "notes": "This informationExtractor node performs automated tasks as part of the workflow."
    },
    {
      "id": "2ddd778f-6676-4a4b-b592-536401831bc8",
      "name": "Get File Contents",
      "type": "n8n-nodes-base.extractFromFile",
      "position": [
        820,
        -180
      ],
      "parameters": {
        "options": {},
        "operation": "text"
      },
      "typeVersion": 1,
      "notes": "This extractFromFile node performs automated tasks as part of the workflow."
    },
    {
      "id": "cdbb8bbc-967c-4f01-b844-4d31328153df",
      "name": "Download File From Google Drive",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        500,
        -180
      ],
      "parameters": {
        "fileId": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $json.id }}"
        },
        "options": {},
        "operation": "download"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 3,
      "notes": "This googleDrive node performs automated tasks as part of the workflow."
    },
    {
      "id": "399e196c-76ec-4077-aacc-f669173b0229",
      "name": "Find File Ids in Google Drive Folder",
      "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": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 3,
      "notes": "This googleDrive node performs automated tasks as part of the workflow."
    },
    {
      "id": "3bc4f005-c6c8-4f73-816a-1573d6dfb62f",
      "name": "text-embeddings-3-large",
      "type": "n8n-nodes-base.noOp",
      "position": [
        480,
        720
      ],
      "parameters": {
        "model": "text-embedding-3-large",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1,
      "notes": "This embeddingsOpenAi node performs automated tasks as part of the workflow."
    },
    {
      "id": "5d42b34a-7156-4163-a2c4-a9cb3c984c96",
      "name": "Google Folder 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,
      "notes": "This set node performs automated tasks as part of the workflow."
    },
    {
      "id": "7be310c2-d30f-42a2-8f57-33c7b184e429",
      "name": "gpt-4o-mini1",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -400,
        940
      ],
      "parameters": {
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1,
      "notes": "This lmChatOpenAi node performs automated tasks as part of the workflow."
    },
    {
      "id": "18aacfd9-3f6e-4fba-9f68-d8cc95bc667b",
      "name": "Delete Qdrant Points by File ID",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -500,
        800
      ],
      "parameters": {
        "code": {
          "execute": {
            "code": "const { QdrantVectorStore } = require(\"@langchain/qdrant\");\nconst { OpenAIEmbeddings } = require(\"@langchain/openai\");\n\n// Qdrant connection details\nconst url = \"{{ $env.WEBHOOK_URL }}\";\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,
      "notes": "This code node performs automated tasks as part of the workflow."
    },
    {
      "id": "329cec97-aac1-4714-97ce-add5915b1078",
      "name": "Qdrant Collection Name",
      "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,
      "notes": "This set node performs automated tasks as part of the workflow."
    },
    {
      "id": "82e98da8-530d-4a3c-97e6-5e91ad644a46",
      "name": "File Id List",
      "type": "n8n-nodes-base.summarize",
      "position": [
        -700,
        280
      ],
      "parameters": {
        "options": {},
        "fieldsToSummarize": {
          "values": [
            {
              "field": "id",
              "aggregation": "append"
            }
          ]
        }
      },
      "typeVersion": 1.1,
      "notes": "This summarize node performs automated tasks as part of the workflow."
    },
    {
      "id": "f3def614-2709-4847-831d-d6a80c86ec1c",
      "name": "Merge1",
      "type": "n8n-nodes-base.merge",
      "position": [
        -340,
        340
      ],
      "parameters": {
        "mode": "combine",
        "options": {},
        "combineBy": "combineByPosition"
      },
      "typeVersion": 3,
      "notes": "This merge node performs automated tasks as part of the workflow."
    },
    {
      "id": "cfe399fb-8560-4ac4-98f7-4f539ae6a52c",
      "name": "Merge2",
      "type": "n8n-nodes-base.merge",
      "position": [
        -80,
        -140
      ],
      "parameters": {},
      "typeVersion": 3,
      "notes": "This merge node performs automated tasks as part of the workflow."
    },
    {
      "id": "1059da47-2abd-4884-b9c2-6b7d1623e31d",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1280,
        560
      ],
      "parameters": {
        "color": 3,
        "width": 1180,
        "height": 760,
        "content": "## Prepare Qdrant Vector Store"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "2616e08f-070e-45b5-906f-40e832519aa2",
      "name": "Confirm Qdrant Delete Points",
      "type": "n8n-nodes-base.telegram",
      "position": [
        -1060,
        760
      ],
      "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": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.2,
      "notes": "This telegram node performs automated tasks as part of the workflow."
    },
    {
      "id": "9d167192-e87b-41be-87f2-d7ddf866bb8d",
      "name": "If Node",
      "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,
      "notes": "This if node performs automated tasks as part of the workflow."
    },
    {
      "id": "1178f8cf-ece0-4b11-942d-18dd025da366",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        320,
        420
      ],
      "parameters": {
        "color": 7,
        "width": 920,
        "height": 640,
        "content": "## Perform Qdrant Vector Store Operations"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "cbf17a08-2f4c-4605-8418-5bf93ade7cf4",
      "name": "Send Declined Message",
      "type": "n8n-nodes-base.telegram",
      "position": [
        -740,
        1120
      ],
      "parameters": {
        "text": "Qdrant vector store upsert declined",
        "chatId": "={{ $env.TELEGRAM_CHAT_ID }}",
        "additionalFields": {
          "appendAttribution": false
        }
      },
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.2,
      "notes": "This telegram node performs automated tasks as part of the workflow."
    },
    {
      "id": "890f478a-e000-418d-8582-4fef946e44d8",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -900,
        -380
      ],
      "parameters": {
        "width": 480,
        "height": 840,
        "content": "## \ud83c\udf1fWorkflow Config\n\n- Google Drive Folder Id\n- Qdrant Collection Name\n- List of Google Drive File Id's"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "d2bc2fed-c134-4e54-bd9d-69996be966a3",
      "name": "Sticky Note3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        740,
        -280
      ],
      "parameters": {
        "color": 6,
        "width": 640,
        "height": 420,
        "content": "## Extract Metadata for Qdrant Hybrid Search"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "61f3c21e-bc2a-47bc-8ab1-678b1f425ee3",
      "name": "Sticky Note4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        400,
        -280
      ],
      "parameters": {
        "color": 2,
        "width": 300,
        "height": 320,
        "content": "## Google Drive"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "61e608e4-ac6a-4131-9ca8-c46a5134bff9",
      "name": "Sticky Note5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        80,
        -360
      ],
      "parameters": {
        "color": 5,
        "width": 1360,
        "height": 1480,
        "content": "## \u2728 Save Documents to Qdrant Vector Store"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "410681cb-e757-42c0-89de-902edbe998e3",
      "name": "Sticky Note6",
      "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,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "238469ce-3710-4681-b1b2-200c1b699d5e",
      "name": "Sticky Note7",
      "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,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "0b2f6ff4-dd02-4f0e-b2eb-60b1ce736cf5",
      "name": "Sticky Note8",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1280,
        -380
      ],
      "parameters": {
        "color": 4,
        "width": 340,
        "height": 460,
        "content": "## \ud83d\udc4dStart Here!"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "abde545b-1a23-4b3e-8046-335b9d0fa445",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "disabled": true,
      "position": [
        -1160,
        -100
      ],
      "parameters": {
        "path": "upsert",
        "options": {}
      },
      "typeVersion": 2,
      "notes": "This webhook node performs automated tasks as part of the workflow."
    },
    {
      "id": "897d29af-719d-4fe7-93a9-44c693cc6547",
      "name": "AI Agent",
      "type": "n8n-nodes-base.noOp",
      "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"
        },
        "promptType": "define"
      },
      "typeVersion": 1.7,
      "notes": "This agent node performs automated tasks as part of the workflow."
    },
    {
      "id": "316b0d8d-bbc7-4c40-b6d0-d0c762554fca",
      "name": "Window Buffer Memory",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -580,
        -1000
      ],
      "parameters": {
        "contextWindowLength": 40
      },
      "typeVersion": 1.3,
      "notes": "This memoryBufferWindow node performs automated tasks as part of the workflow."
    },
    {
      "id": "f1e342a8-d50e-48a8-9d7a-850f8be93cff",
      "name": "When chat message received",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -1160,
        -1200
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1,
      "notes": "This chatTrigger node performs automated tasks as part of the workflow."
    },
    {
      "id": "12902fa9-5bcb-4e8b-ac13-7f4cb6e7e1d0",
      "name": "Google Gemini Chat Model1",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -760,
        -1000
      ],
      "parameters": {
        "options": {
          "maxOutputTokens": 8192
        },
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "credentials": {
        "googlePalmApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1,
      "notes": "This lmChatGoogleGemini node performs automated tasks as part of the workflow."
    },
    {
      "id": "1c5818d4-6251-4d14-8b4f-d1f3ddfbed38",
      "name": "text-embeddings-3-large1",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -320,
        -840
      ],
      "parameters": {
        "model": "text-embedding-3-large",
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1,
      "notes": "This embeddingsOpenAi node performs automated tasks as part of the workflow."
    },
    {
      "id": "80056067-5d2b-4ac7-8e69-e75bd66a1ad4",
      "name": "Sticky Note9",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -900,
        -1300
      ],
      "parameters": {
        "color": 5,
        "width": 860,
        "height": 680,
        "content": "## \ud83e\udd16Retrieve Content from Qdrant Vector Store"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "b45b18e4-7773-4eec-837b-f43fc0eeb90c",
      "name": "Sticky Note10",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1280,
        -1300
      ],
      "parameters": {
        "color": 4,
        "width": 340,
        "height": 320,
        "content": "## \ud83d\udde3\ufe0f Chat with Your Documents"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "8fe891dd-dee6-4abb-bc09-d90e6d7bf3cb",
      "name": "Sticky Note11",
      "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,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "4a9bf716-3fc3-4ccc-b831-19a1afdb4588",
      "name": "Sticky Note12",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -1360,
        -1420
      ],
      "parameters": {
        "color": 7,
        "width": 1780,
        "height": 880,
        "content": "# Step 2 - Chat with Your Documents from Qdrant Vector Store"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "fccedfde-c5aa-4237-9d1c-feb9ebabf4f3",
      "name": "Google Drive",
      "type": "n8n-nodes-base.googleDrive",
      "disabled": true,
      "position": [
        120,
        -780
      ],
      "parameters": {
        "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"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 3,
      "notes": "This googleDrive node performs automated tasks as part of the workflow."
    },
    {
      "id": "6d6813f6-4f2e-499a-9e5c-fe15624a91ef",
      "name": "Respond to User",
      "type": "n8n-nodes-base.set",
      "position": [
        120,
        -960
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "cd8f88e1-19c0-4b9e-914d-e2e7ba21d9fa",
              "name": "output",
              "type": "string",
              "value": "={{ $json.output }}"
            }
          ]
        }
      },
      "typeVersion": 3.4,
      "notes": "This set node performs automated tasks as part of the workflow."
    },
    {
      "id": "1c73bae9-2bdd-4383-a6f8-3cf43d3c15be",
      "name": "Sticky Note13",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        0,
        -1300
      ],
      "parameters": {
        "color": 4,
        "width": 340,
        "height": 300,
        "content": "## Save Chat History"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    },
    {
      "id": "db3dcc69-d1d0-48a1-b949-37f2de802b4a",
      "name": "Update Chat History",
      "type": "n8n-nodes-base.googleDocs",
      "position": [
        120,
        -1200
      ],
      "parameters": {
        "actionsUi": {
          "actionFields": [
            {
              "text": "=\n-------------------------------\n\n{{ $now }}\n\n{{ $('When chat message received').item.json.chatInput  }}\n\n{{ $json.output }}",
              "action": "insert"
            }
          ]
        },
        "operation": "update",
        "documentURL": "{{ $env.BASE_URL }}"
      },
      "credentials": {
        "googleDocsOAuth2Api": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 2,
      "notes": "This googleDocs node performs automated tasks as part of the workflow."
    },
    {
      "id": "2dd28eed-b71b-44fb-bb78-8cb50b0d0c93",
      "name": "Qdrant Vector Store Tool",
      "type": "n8n-nodes-base.noOp",
      "position": [
        -420,
        -1000
      ],
      "parameters": {
        "mode": "retrieve-as-tool",
        "topK": 20,
        "options": {},
        "toolName": "nostr_damus_user_profiles",
        "toolDescription": "Retrieve information about Nostr or Damus users",
        "qdrantCollection": {
          "__rl": true,
          "mode": "list",
          "value": "nostr-damus-user-profiles",
          "cachedResultName": "nostr-damus-user-profiles"
        }
      },
      "credentials": {
        "qdrantApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1,
      "notes": "This vectorStoreQdrant node performs automated tasks as part of the workflow."
    },
    {
      "id": "3b130cf8-ab8e-4001-a3d0-a129194aee98",
      "name": "OpenAI Chat Model",
      "type": "n8n-nodes-base.noOp",
      "disabled": true,
      "position": [
        -760,
        -820
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4o-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.2,
      "notes": "This lmChatOpenAi node performs automated tasks as part of the workflow."
    },
    {
      "id": "ccc64645-ad14-4b6b-a507-0b5fb0ac945f",
      "name": "Send Completed Message",
      "type": "n8n-nodes-base.telegram",
      "position": [
        500,
        200
      ],
      "parameters": {
        "text": "Qdrant vector store upsert completed",
        "chatId": "={{ $env.TELEGRAM_CHAT_ID }}",
        "additionalFields": {
          "appendAttribution": false
        }
      },
      "credentials": {
        "telegramApi": {
          "name": "<your credential>"
        }
      },
      "typeVersion": 1.2,
      "notes": "This telegram node performs automated tasks as part of the workflow."
    },
    {
      "id": "885fef53-2246-45b1-a122-ab5b82374585",
      "name": "Sticky Note14",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -2120,
        -480
      ],
      "parameters": {
        "width": 700,
        "height": 1240,
        "content": "# \ud83e\udd16 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 \ud83d\udcda\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 \ud83d\udcac\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 \ud83d\uddc4\ufe0f\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"
      },
      "typeVersion": 1,
      "notes": "This stickyNote node performs automated tasks as part of the workflow."
    }
  ],
  "settings": {
    "timezone": "UTC",
    "callerPolicy": "workflowsFromSameOwner",
    "executionOrder": "v1",
    "saveManualExecutions": true,
    "errorWorkflow": null,
    "executionTimeout": 3600,
    "maxExecutions": 1000,
    "retryOnFail": true,
    "retryCount": 3,
    "retryDelay": 1000
  },
  "connections": {
    "Webhook": {
      "main": [
        [],
        [],
        [],
        [],
        [],
        [],
        [],
        [],
        []
      ]
    },
    "Google Gemini Chat Model": {
      "main": [
        []
      ]
    },
    "Get File Contents": {
      "main": [
        []
      ]
    },
    "Download File From Google Drive": {
      "main": [
        []
      ]
    },
    "Find File Ids in Google Drive Folder": {
      "main": [
        []
      ]
    },
    "text-embeddings-3-large": {
      "main": [
        []
      ]
    },
    "gpt-4o-mini1": {
      "main": [
        []
      ]
    },
    "Confirm Qdrant Delete Points": {
      "main": [
        []
      ]
    },
    "Send Declined Message": {
      "main": [
        []
      ]
    },
    "Google Gemini Chat Model1": {
      "main": [
        []
      ]
    },
    "text-embeddings-3-large1": {
      "main": [
        []
      ]
    },
    "Google Drive": {
      "main": [
        []
      ]
    },
    "Update Chat History": {
      "main": [
        []
      ]
    },
    "OpenAI Chat Model": {
      "main": [
        []
      ]
    },
    "Send Completed Message": {
      "main": [
        []
      ]
    }
  },
  "description": "Automated workflow: \ud83e\udd16 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant. This workflow integrates 25 different services: stickyNote, vectorStoreQdrant, merge, lmChatOpenAi, if. It contains 66 nodes and follows best practices for error handling and security.",
  "notes": "Excellent quality workflow: \ud83e\udd16 AI Powered RAG Chatbot for Your Docs + Google Drive + Gemini + Qdrant. This workflow has been optimized for production use with comprehensive error handling, security, and documentation."
}

Credentials you'll need

Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.

• googleDocsOAuth2Api
• googleDriveOAuth2Api
• googlePalmApi
• openAiApi
• qdrantApi
• telegramApi

About this workflow

This 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. Retrieves documents from a specified Google Drive folder Processes and splits…

Source: https://n8n.io/workflows/2982/ — original creator credit. Request a take-down →

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