{
  "name": "RAG Workflow For Company Documents stored in Google Drive",
  "nodes": [
    {
      "id": "753455a3-ddc8-4a74-b043-70a0af38ff9e",
      "name": "Pinecone Vector Store",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "position": [
        680,
        0
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "pineconeIndex": {
          "__rl": true,
          "mode": "list",
          "value": "REPLACE_WITH_RESOURCE"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "a7c8fa7f-cad2-4497-a295-30aa2e98cacc",
      "name": "Embeddings Google Gemini",
      "type": "@n8n/n8n-nodes-langchain.embeddingsGoogleGemini",
      "position": [
        640,
        280
      ],
      "parameters": {
        "modelName": "models/text-embedding-004"
      },
      "typeVersion": 1
    },
    {
      "id": "215f0519-4359-4e4b-a90c-7e54b1cc52b5",
      "name": "Default Data Loader",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        840,
        220
      ],
      "parameters": {
        "options": {},
        "dataType": "binary",
        "binaryMode": "specificField"
      },
      "typeVersion": 1
    },
    {
      "id": "863d3d1d-1621-406e-8320-688f64b07b09",
      "name": "Recursive Character Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "position": [
        820,
        420
      ],
      "parameters": {
        "options": {},
        "chunkOverlap": 100
      },
      "typeVersion": 1
    },
    {
      "id": "5af1efb1-ea69-466e-bb3b-2b7e6b1ceef7",
      "name": "AI Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        420,
        840
      ],
      "parameters": {
        "options": {
          "systemMessage": "You are a helpful HR assistant designed to answer employee questions based on company policies.\n\nRetrieve relevant information from the provided internal documents and provide a concise, accurate, and informative answer to the employee's question.\n\nUse the tool called \"company_documents_tool\" to retrieve any information from the company's documents.\n\nIf the answer cannot be found in the provided documents, respond with \"I cannot find the answer in the available resources.\""
        }
      },
      "typeVersion": 1.7
    },
    {
      "id": "825632ac-1edf-4e63-948d-b1a498b2b962",
      "name": "Vector Store Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "position": [
        820,
        1060
      ],
      "parameters": {
        "name": "company_documents_tool",
        "description": "Retrieve information from any company documents"
      },
      "typeVersion": 1
    },
    {
      "id": "72d2f685-bcc3-4e62-a5e3-72c0fe65f8e8",
      "name": "Pinecone Vector Store (Retrieval)",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "position": [
        720,
        1240
      ],
      "parameters": {
        "options": {},
        "pineconeIndex": {
          "__rl": true,
          "mode": "list",
          "value": "REPLACE_WITH_RESOURCE"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "eeff81cb-6aec-4e7f-afe0-432d87085fb2",
      "name": "Embeddings Google Gemini (retrieval)",
      "type": "@n8n/n8n-nodes-langchain.embeddingsGoogleGemini",
      "position": [
        700,
        1400
      ],
      "parameters": {
        "modelName": "models/text-embedding-004"
      },
      "typeVersion": 1
    },
    {
      "id": "8bb6ebb1-1deb-498b-8da4-b809a736e097",
      "name": "Download File From Google Drive",
      "type": "n8n-nodes-base.googleDrive",
      "position": [
        460,
        0
      ],
      "parameters": {
        "fileId": {
          "__rl": true,
          "mode": "id",
          "value": "={{ $json.id }}"
        },
        "options": {
          "fileName": "={{ $json.name }}"
        },
        "operation": "download"
      },
      "typeVersion": 3
    },
    {
      "id": "bd83bacf-dff1-4b7c-af5c-b249fb16c113",
      "name": "Sticky Note2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        420,
        660
      ],
      "parameters": {
        "content": "## Chat with company documents"
      },
      "typeVersion": 1
    },
    {
      "id": "7b90daab-0fb2-4c8a-93e6-b138bb04f282",
      "name": "Google Drive File Updated",
      "type": "n8n-nodes-base.googleDriveTrigger",
      "position": [
        140,
        140
      ],
      "parameters": {
        "event": "fileUpdated",
        "options": {},
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        },
        "triggerOn": "specificFolder",
        "folderToWatch": {
          "__rl": true,
          "mode": "list",
          "value": "REPLACE_WITH_RESOURCE"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "3a6c6cef-7a19-42ef-8092-eaf57dae4cdd",
      "name": "Google Drive File Created",
      "type": "n8n-nodes-base.googleDriveTrigger",
      "position": [
        140,
        -120
      ],
      "parameters": {
        "event": "fileCreated",
        "options": {
          "fileType": "all"
        },
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        },
        "triggerOn": "specificFolder",
        "folderToWatch": {
          "__rl": true,
          "mode": "list",
          "value": "REPLACE_WITH_RESOURCE"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "1e38f1c8-7bd0-4eeb-addc-62339582d350",
      "name": "Window Buffer Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        500,
        1140
      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
      "id": "4b0ab858-99b1-4337-8c5c-a223519e3662",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        80,
        840
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "bfb684d1-e5c1-41da-8305-b2606a2eade6",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        440,
        -240
      ],
      "parameters": {
        "width": 320,
        "content": "## Add docuemnts to vector store when updating or creating new documents in Google Drive"
      },
      "typeVersion": 1
    },
    {
      "id": "8f627ec6-4b3f-43ad-a4a3-e2b199a7fe58",
      "name": "Google Gemini Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        320,
        1140
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "typeVersion": 1
    },
    {
      "id": "f2133a06-0088-46de-9f74-a3f9fe478f98",
      "name": "Google Gemini Chat Model (retrieval)",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
      "position": [
        1080,
        1240
      ],
      "parameters": {
        "options": {},
        "modelName": "models/gemini-2.0-flash-exp"
      },
      "typeVersion": 1
    },
    {
      "id": "578deb96-8393-4850-9757-fa97b2bc9992",
      "name": "Sticky Note1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -540,
        220
      ],
      "parameters": {
        "width": 420,
        "height": 720,
        "content": "## Set up steps\n\n1. Google Cloud Project and Vertex AI API:\n* Create a Google Cloud project.\n* Enable the Vertex AI API for your project.\n2. Google AI API Key:\n* Obtain a Google AI API key from Google AI Studio.\n3. Pinecone Account:\n* Create a free account on the Pinecone website.\nObtain your API key from your Pinecone dashboard.\n* Create an index named company-files in your Pinecone project.\n4. Google Drive:\n* Create a dedicated folder in your Google Drive where company documents will be stored.\n5. Credentials in n8n: Configure credentials in your n8n environment for:\n* Google Drive OAuth2\n* Google Gemini(PaLM) Api (using your Google AI API key)\n* Pinecone API (using your Pinecone API key)\n5. Import the Workflow:\n* Import this workflow into your n8n instance.\n6. Configure the Workflow:\n* Update both Google Drive Trigger nodes to watch the specific folder you created in your Google Drive.\n* Configure the Pinecone Vector Store nodes to use your company-files index."
      },
      "typeVersion": 1
    },
    {
      "id": "d59f7bd4-1db2-57e0-be15-a249e9ddfbd0",
      "name": "Publication · Overview and setup",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -1340,
        -240
      ],
      "parameters": {
        "content": "# RAG Workflow For Company Documents stored in Google Drive\n\n## Purpose and structure\nThis folder contains the **RAG Workflow For Company Documents stored in Google Drive** workflow. Its executable nodes use `agent`, `chatTrigger`, `documentDefaultDataLoader`, `embeddingsGoogleGemini`, `googleDrive`, `googleDriveTrigger`, `lmChatGoogleGemini`, `memoryBufferWindow`, `textSplitterRecursiveCharacterTextSplitter`, `toolVectorStore`, `vectorStorePinecone`. The table and connection map below are derived from the JSON, not an inferred guarantee of behavior.\n\n## Setup\nImport inactive. Configure your own credentials and replace REPLACE_WITH_* values. Review external destinations and Code nodes before running.\n\n## Entry points\nGoogle Drive File Updated, Google Drive File Created, When chat message received\n\n## Verification\nSanitized source candidate; not runtime-tested. This overview is generated from node metadata. Read the folder README for the connection map, credential types, and license.\n\n## Attribution\nhttps://github.com/Zie619/n8n-workflows/blob/94007c1445d9258a7da116646b79473e7c7c3282/workflows/Stickynote/1626_Stickynote_GoogleDrive_Automate_Triggered.json\nMIT; preserve source notices.",
        "width": 700,
        "height": 800,
        "color": 1
      }
    }
  ],
  "active": false,
  "settings": {
    "executionOrder": "v1"
  },
  "connections": {
    "AI Agent": {
      "main": [
        []
      ]
    },
    "Vector Store Tool": {
      "ai_tool": [
        [
          {
            "node": "AI Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Default Data Loader": {
      "ai_document": [
        [
          {
            "node": "Pinecone Vector Store",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "Window Buffer Memory": {
      "ai_memory": [
        [
          {
            "node": "AI Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Pinecone Vector Store": {
      "main": [
        []
      ]
    },
    "Embeddings Google Gemini": {
      "ai_embedding": [
        [
          {
            "node": "Pinecone Vector Store",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "AI Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Google Drive File Created": {
      "main": [
        [
          {
            "node": "Download File From Google Drive",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Google Drive File Updated": {
      "main": [
        [
          {
            "node": "Download File From Google Drive",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When chat message received": {
      "main": [
        [
          {
            "node": "AI Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Download File From Google Drive": {
      "main": [
        [
          {
            "node": "Pinecone Vector Store",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Pinecone Vector Store (Retrieval)": {
      "ai_vectorStore": [
        [
          {
            "node": "Vector Store Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Recursive Character Text Splitter": {
      "ai_textSplitter": [
        [
          {
            "node": "Default Data Loader",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings Google Gemini (retrieval)": {
      "ai_embedding": [
        [
          {
            "node": "Pinecone Vector Store (Retrieval)",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Google Gemini Chat Model (retrieval)": {
      "ai_languageModel": [
        [
          {
            "node": "Vector Store Tool",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    }
  }
}