Automate Document Insights with Google Drive & Gemini AI

Harness the Google Drive API and Google Gemini to extract actionable insights from your company documents. This workflow is designed for business teams looking to streamline document analysis. Requires 4 accounts: Pinecone API, Google Palm API, Google Drive OAuth, and more. Save hours on document processing, enabling your team to focus on strategic initiatives and decision-making.

Chat Trigger
159,618 views18 nodesJan 2025Sophia Brown

Categories

Internal WikiAI RAG

APIs

Google Drive APIGoogle Gemini

AI Features

Vector StorageVector DatabaseGoogle Gemini+3

Credentials

4 required

Quick Actions

Copy or download to import into your n8n instance

Workflow JSON
{
  "id": "7cXvgkl9170QXzT2",
  "meta": {
    "instanceId": "69133932b9ba8e1ef14816d0b63297bb44feb97c19f759b5d153ff6b0c59e18d",
    "templateCredsSetupCompleted": true
  },
  "name": "RAG Workflow For Company Documents stored in Google Drive",
  "tags": [],
  "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": "company-files",
          "cachedResultName": "company-files"
        }
      },
      "credentials": {
        "pineconeApi": {
          "id": "bQTNry52ypGLqt47",
          "name": "PineconeApi account"
        }
      },
      "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"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "jLOqyTR4yTT1nYKi",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "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": "company-files",
          "cachedResultName": "company-files"
        }
      },
      "credentials": {
        "pineconeApi": {
          "id": "bQTNry52ypGLqt47",
          "name": "PineconeApi account"
        }
      },
      "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"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "jLOqyTR4yTT1nYKi",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "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"
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "uixLsi5TmrfwXPeB",
          "name": "Google Drive account"
        }
      },
      "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": "1evDIoHePhjw_LgVFZXSZyK1sZm2GHp9W",
          "cachedResultUrl": "https://drive.google.com/drive/folders/1evDIoHePhjw_LgVFZXSZyK1sZm2GHp9W",
          "cachedResultName": "INNOVI PRO"
        }
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "uixLsi5TmrfwXPeB",
          "name": "Google Drive account"
        }
      },
      "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": "1evDIoHePhjw_LgVFZXSZyK1sZm2GHp9W",
          "cachedResultUrl": "https://drive.google.com/drive/folders/1evDIoHePhjw_LgVFZXSZyK1sZm2GHp9W",
          "cachedResultName": "INNOVI PRO"
        }
      },
      "credentials": {
        "googleDriveOAuth2Api": {
          "id": "uixLsi5TmrfwXPeB",
          "name": "Google Drive account"
        }
      },
      "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
      ],
      "webhookId": "5f1c0c82-0ff9-40c7-9e2e-b1a96ffe24cd",
      "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"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "jLOqyTR4yTT1nYKi",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "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"
      },
      "credentials": {
        "googlePalmApi": {
          "id": "jLOqyTR4yTT1nYKi",
          "name": "Google Gemini(PaLM) Api account"
        }
      },
      "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
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "33b252fb-5d87-4a29-a0a7-97308140699c",
  "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
          }
        ]
      ]
    }
  }
}

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How to Use This Workflow

1Import to n8n

  1. Copy the JSON using the button above
  2. Open your n8n instance
  3. Click “Import workflow” or press Ctrl+V
  4. Paste the JSON and click “Import”

2Before Running

Configure credentials and update service-specific settings before executing the workflow. Review required credentials in the Technical Details section above.

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