Workflow: Extractfromfile Stickynote Automation

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    "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": [
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            ],
            "parameters": {
                "options": []
            },
            "typeVersion": 1
        },
        {
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            "name": "Embeddings Cohere",
            "type": "@n8n\/n8n-nodes-langchain.embeddingsCohere",
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            ],
            "parameters": {
                "modelName": "embed-multilingual-v3.0"
            },
            "credentials": {
                "cohereApi": {
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                    "name": "CohereApi account"
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            },
            "typeVersion": 1
        },
        {
            "id": "1da6ea4b-de88-44d3-a215-78c55b5592a2",
            "name": "When chat message received",
            "type": "@n8n\/n8n-nodes-langchain.chatTrigger",
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            "webhookId": "a4257301-3fb9-4b9d-a965-1fa66f314696",
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        {
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            "name": "Watch New Files",
            "type": "n8n-nodes-base.googleDriveTrigger",
            "position": [
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            ],
            "parameters": {
                "event": "fileCreated",
                "options": [],
                "pollTimes": {
                    "item": [
                        {
                            "mode": "everyMinute"
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                "triggerOn": "specificFolder",
                "folderToWatch": {
                    "__rl": true,
                    "mode": "list",
                    "value": "15gjDQZiHZuBeVscnK8Ic_kIWt3mOaVfs",
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        {
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            "name": "Download New",
            "type": "n8n-nodes-base.googleDrive",
            "position": [
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            "parameters": {
                "fileId": {
                    "__rl": true,
                    "mode": "id",
                    "value": "={{ $json.id }}"
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                "options": [],
                "operation": "download"
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            },
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        },
        {
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            "name": "Insert into Milvus",
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            ],
            "parameters": {
                "mode": "insert",
                "options": {
                    "clearCollection": false
                },
                "milvusCollection": {
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                    "mode": "list",
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            },
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            "name": "Retrieve from Milvus",
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            "parameters": {
                "mode": "retrieve-as-tool",
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                "toolDescription": "You are an AI agent that responds based on information received from a vector database.",
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            "name": "OpenAI 4o",
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        {
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            "name": "Set Chunks",
            "type": "@n8n\/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
            "position": [
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            "parameters": {
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                "chunkSize": 700,
                "chunkOverlap": 60
            },
            "typeVersion": 1
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        {
            "id": "3a43bf1a-7e22-4b5e-bbb1-6bb2c1798c07",
            "name": "Extract from File",
            "type": "n8n-nodes-base.extractFromFile",
            "position": [
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            "parameters": {
                "options": [],
                "operation": "pdf"
            },
            "typeVersion": 1
        },
        {
            "id": "e0c9d4d7-5e3e-4e47-bb1f-dbdca360b20a",
            "name": "Sticky Note",
            "type": "n8n-nodes-base.stickyNote",
            "position": [
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            "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"
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    "connections": {
        "Memory": {
            "ai_memory": [
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                    {
                        "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
                    }
                ]
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        },
        "When chat message received": {
            "main": [
                [
                    {
                        "node": "RAG Agent",
                        "type": "main",
                        "index": 0
                    }
                ]
            ]
        }
    }
}
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