Workflow: Extractfromfile Stickynote Automation

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{
    "id": "2Eba0OHGtOmoTWOU",
    "meta": {
        "instanceId": "9219ebc7795bea866f70aa3d977d54417fdf06c41944be95e20cfb60f992db19",
        "templateCredsSetupCompleted": true
    },
    "name": "RAG AI Agent with Milvus and Cohere",
    "tags": [
        {
            "id": "yj7cF3GCsZiargFT",
            "name": "rag",
            "createdAt": "2025-05-03T17:14:30.099Z",
            "updatedAt": "2025-05-03T17:14:30.099Z"
        }
    ],
    "nodes": [
        {
            "id": "361065cc-edbf-47da-8da7-c59b564db6f3",
            "name": "Default Data Loader",
            "type": "@n8n\/n8n-nodes-langchain.documentDefaultDataLoader",
            "position": [
                0,
                320
            ],
            "parameters": {
                "options": []
            },
            "typeVersion": 1
        },
        {
            "id": "a01b9512-ced1-4e28-a2aa-88077ab79d9a",
            "name": "Embeddings Cohere",
            "type": "@n8n\/n8n-nodes-langchain.embeddingsCohere",
            "position": [
                -140,
                320
            ],
            "parameters": {
                "modelName": "embed-multilingual-v3.0"
            },
            "credentials": {
                "cohereApi": {
                    "id": "8gcYMleu1b8Hm03D",
                    "name": "CohereApi account"
                }
            },
            "typeVersion": 1
        },
        {
            "id": "1da6ea4b-de88-44d3-a215-78c55b5592a2",
            "name": "When chat message received",
            "type": "@n8n\/n8n-nodes-langchain.chatTrigger",
            "position": [
                -800,
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            ],
            "webhookId": "a4257301-3fb9-4b9d-a965-1fa66f314696",
            "parameters": {
                "options": []
            },
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        },
        {
            "id": "23004477-3f6d-4909-a626-0eba0557a5bd",
            "name": "Watch New Files",
            "type": "n8n-nodes-base.googleDriveTrigger",
            "position": [
                -800,
                100
            ],
            "parameters": {
                "event": "fileCreated",
                "options": [],
                "pollTimes": {
                    "item": [
                        {
                            "mode": "everyMinute"
                        }
                    ]
                },
                "triggerOn": "specificFolder",
                "folderToWatch": {
                    "__rl": true,
                    "mode": "list",
                    "value": "15gjDQZiHZuBeVscnK8Ic_kIWt3mOaVfs",
                    "cachedResultUrl": "https:\/\/drive.google.com\/drive\/folders\/15gjDQZiHZuBeVscnK8Ic_kIWt3mOaVfs",
                    "cachedResultName": "RAG template"
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            },
            "credentials": {
                "googleDriveOAuth2Api": {
                    "id": "r1DVmNxwkIL8JO17",
                    "name": "Google Drive account"
                }
            },
            "typeVersion": 1
        },
        {
            "id": "001fbdbe-dfcb-4552-bf09-de416b253389",
            "name": "Download New",
            "type": "n8n-nodes-base.googleDrive",
            "position": [
                -580,
                100
            ],
            "parameters": {
                "fileId": {
                    "__rl": true,
                    "mode": "id",
                    "value": "={{ $json.id }}"
                },
                "options": [],
                "operation": "download"
            },
            "credentials": {
                "googleDriveOAuth2Api": {
                    "id": "r1DVmNxwkIL8JO17",
                    "name": "Google Drive account"
                }
            },
            "typeVersion": 3
        },
        {
            "id": "c1116cba-beb9-4d28-843d-c5c21c0643de",
            "name": "Insert into Milvus",
            "type": "@n8n\/n8n-nodes-langchain.vectorStoreMilvus",
            "position": [
                -124,
                100
            ],
            "parameters": {
                "mode": "insert",
                "options": {
                    "clearCollection": false
                },
                "milvusCollection": {
                    "__rl": true,
                    "mode": "list",
                    "value": "collectionName",
                    "cachedResultName": "collectionName"
                }
            },
            "credentials": {
                "milvusApi": {
                    "id": "Gpsxqr2l9Qxu48h0",
                    "name": "Milvus account"
                }
            },
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        {
            "id": "2dbc7139-46f6-41d8-8c13-9fafad5aec55",
            "name": "RAG Agent",
            "type": "@n8n\/n8n-nodes-langchain.agent",
            "position": [
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            ],
            "parameters": {
                "options": []
            },
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        },
        {
            "id": "a103506e-9019-41f2-9b0d-9b831434c9e9",
            "name": "Retrieve from Milvus",
            "type": "@n8n\/n8n-nodes-langchain.vectorStoreMilvus",
            "position": [
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                740
            ],
            "parameters": {
                "mode": "retrieve-as-tool",
                "topK": 10,
                "toolName": "vector_store",
                "toolDescription": "You are an AI agent that responds based on information received from a vector database.",
                "milvusCollection": {
                    "__rl": true,
                    "mode": "list",
                    "value": "collectionName",
                    "cachedResultName": "collectionName"
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            "credentials": {
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                    "id": "Gpsxqr2l9Qxu48h0",
                    "name": "Milvus account"
                }
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        {
            "id": "74ccdff1-b976-4e1c-a2c4-237ffff19e34",
            "name": "OpenAI 4o",
            "type": "@n8n\/n8n-nodes-langchain.lmChatOpenAi",
            "position": [
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            ],
            "parameters": {
                "model": {
                    "__rl": true,
                    "mode": "list",
                    "value": "gpt-4o",
                    "cachedResultName": "gpt-4o"
                },
                "options": []
            },
            "credentials": {
                "openAiApi": {
                    "id": "vupAk5StuhOafQcb",
                    "name": "OpenAi account"
                }
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        {
            "id": "36e35eaf-f723-4eeb-9658-143d5bc390a0",
            "name": "Memory",
            "type": "@n8n\/n8n-nodes-langchain.memoryBufferWindow",
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            "parameters": [],
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        {
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            "name": "Cohere embeddings",
            "type": "@n8n\/n8n-nodes-langchain.embeddingsCohere",
            "position": [
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            "parameters": {
                "modelName": "embed-multilingual-v3.0"
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            "credentials": {
                "cohereApi": {
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                    "name": "CohereApi account"
                }
            },
            "typeVersion": 1
        },
        {
            "id": "3c3a8900-0b98-4479-8602-16b21e011ba1",
            "name": "Set Chunks",
            "type": "@n8n\/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
            "position": [
                80,
                480
            ],
            "parameters": {
                "options": [],
                "chunkSize": 700,
                "chunkOverlap": 60
            },
            "typeVersion": 1
        },
        {
            "id": "3a43bf1a-7e22-4b5e-bbb1-6bb2c1798c07",
            "name": "Extract from File",
            "type": "n8n-nodes-base.extractFromFile",
            "position": [
                -360,
                100
            ],
            "parameters": {
                "options": [],
                "operation": "pdf"
            },
            "typeVersion": 1
        },
        {
            "id": "e0c9d4d7-5e3e-4e47-bb1f-dbdca360b20a",
            "name": "Sticky Note",
            "type": "n8n-nodes-base.stickyNote",
            "position": [
                -1440,
                120
            ],
            "parameters": {
                "color": 2,
                "width": 540,
                "height": 600,
                "content": "## Why Milvus\nBased on comparisons and user feedback, **Milvus is often considered a more performant and scalable vector database solution compared to Supabase**, particularly for demanding use cases involving large datasets, high-volume vector search operations, and multilingual support.\n\n\n### Requirements\n- Create an account on [Zilliz](https:\/\/zilliz.com\/) to generate the Milvus cluster. \n- There is no need to create docker containers or your own instance, Zilliz provides the cloud infraestructure to build it easily\n- Get your credentials ready from Drive, Milvus (Zilliz), and [Cohere](https:\/\/cohere.com)\n\n### Usage\nEvery time a new pdf is added into the Drive folder, it will be inserted into the Milvus Vector Store, allowing for the interaction with the RAG agent in seconds.\n\n## Calculate your company's RAG costs\n\nWant to run Milvus on your own server on n8n? Zilliz provides a great [cost calculator](https:\/\/zilliz.com\/rag-cost-calculator\/)\n\n### Get in touch with us\nWant to implement a RAG AI agent for your company? [Shoot us a message](https:\/\/1node.ai)\n"
            },
            "typeVersion": 1
        }
    ],
    "active": true,
    "pinData": [],
    "settings": {
        "executionOrder": "v1"
    },
    "versionId": "8b5fc2b8-50f7-425c-8fc8-94ba4f76ecf3",
    "connections": {
        "Memory": {
            "ai_memory": [
                [
                    {
                        "node": "RAG Agent",
                        "type": "ai_memory",
                        "index": 0
                    }
                ]
            ]
        },
        "OpenAI 4o": {
            "ai_languageModel": [
                [
                    {
                        "node": "RAG Agent",
                        "type": "ai_languageModel",
                        "index": 0
                    }
                ]
            ]
        },
        "Set Chunks": {
            "ai_textSplitter": [
                [
                    {
                        "node": "Default Data Loader",
                        "type": "ai_textSplitter",
                        "index": 0
                    }
                ]
            ]
        },
        "Download New": {
            "main": [
                [
                    {
                        "node": "Extract from File",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Watch New Files": {
            "main": [
                [
                    {
                        "node": "Download New",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Cohere embeddings": {
            "ai_embedding": [
                [
                    {
                        "node": "Retrieve from Milvus",
                        "type": "ai_embedding",
                        "index": 0
                    }
                ]
            ]
        },
        "Embeddings Cohere": {
            "ai_embedding": [
                [
                    {
                        "node": "Insert into Milvus",
                        "type": "ai_embedding",
                        "index": 0
                    }
                ]
            ]
        },
        "Extract from File": {
            "main": [
                [
                    {
                        "node": "Insert into Milvus",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        },
        "Default Data Loader": {
            "ai_document": [
                [
                    {
                        "node": "Insert into Milvus",
                        "type": "ai_document",
                        "index": 0
                    }
                ]
            ]
        },
        "Retrieve from Milvus": {
            "ai_tool": [
                [
                    {
                        "node": "RAG Agent",
                        "type": "ai_tool",
                        "index": 0
                    }
                ]
            ]
        },
        "When chat message received": {
            "main": [
                [
                    {
                        "node": "RAG Agent",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        }
    }
}
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