{
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      "createdAt": "2025-05-03T17:14:30.099Z",
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        "topK": 10,
        "toolName": "vector_store",
        "toolDescription": "You are an AI agent that responds based on information received from a vector database.",
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      "name": "Set Chunks",
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      "parameters": {
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        "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"
      },
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    "Set Chunks": {
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    },
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    },
    "Cohere embeddings": {
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          {
            "node": "Retrieve from Milvus",
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        ]
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    },
    "Embeddings Cohere": {
      "ai_embedding": [
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            "node": "Insert into Milvus",
            "type": "ai_embedding",
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        ]
      ]
    },
    "Extract from File": {
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            "node": "Insert into Milvus",
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      "ai_document": [
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            "node": "Insert into Milvus",
            "type": "ai_document",
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        ]
      ]
    },
    "Retrieve from Milvus": {
      "ai_tool": [
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            "node": "RAG Agent",
            "type": "ai_tool",
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    },
    "When chat message received": {
      "main": [
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}