Construire un assistant juridique fiscal avec Qdrant, Mistral.ai et OpenAI

• •Peut nécessiter les informations d'identification d'authentification de l'API cible
• •Clé API OpenAI
• •Informations de connexion au serveur Qdrant

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    {
      "id": "3a93c19b-09d9-4e38-8b0c-2008fc03f7fc",
      "name": "Obtenir les Embeddings Mistral",
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      "parameters": {
        "url": "https://api.mistral.ai/v1/embeddings",
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      "parameters": {
        "url": "=http://qdrant:6333/collections/texas_tax_codes/points/search",
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      "name": "Obtenir la Réponse de Recherche",
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        "content": "## Step 1. Download the Tax Code PDF\n[Read more about handling Zip Files](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.compression/)\n\nLet's begin by pulling a zip file containing all the tax codes as separate PDF files. We can unzip on the fly with n8n's compression node."
      },
      "typeVersion": 1
    },
    {
      "id": "02826887-eb26-48a0-928e-fe56ee008425",
      "name": "Note Adhésive1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        500,
        199.87747230655896
      ],
      "parameters": {
        "color": 7,
        "width": 777.897719182587,
        "height": 503.3459981018574,
        "content": "## Step 2. Extract and Partition Into Chapters & Sections\n[Learn more about reading PDF Files](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.extractfromfile)\n\nRather than ingest the raw text of the PDF, we'll be a little more strategic and extract the tax code sections separately instead. Not only will this provide cleaner results, we'll also be able to fetch sections in isolation if required."
      },
      "typeVersion": 1
    },
    {
      "id": "31a34972-31ab-4b96-9d09-cd30a3b184cf",
      "name": "Note Adhésive2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
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        "width": 1045.1698686248747,
        "height": 771.1260499456115,
        "content": "## Step 3. Save into Qdrant VectorStore\n[Read more about using the Qdrant Vectorstore](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreqdrant)\n\nWe'll save our data into a Qdrant collection being mindful to use metadata to take full advantage of Qdrant's filtering capabilities later.\nThough not always required, since the tax code documents can be quite large we'll implement a loop here to throttle the number of tokens being processed as to not trip the Mistral.ai rate limits for embeddings."
      },
      "typeVersion": 1
    },
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      "name": "Magasin de Vecteurs Qdrant",
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      "position": [
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      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "qdrantCollection": {
          "__rl": true,
          "mode": "list",
          "value": "texas_tax_codes",
          "cachedResultName": "texas_tax_codes"
        }
      },
      "credentials": {
        "qdrantApi": {
          "id": "NyinAS3Pgfik66w5",
          "name": "QdrantApi account"
        }
      },
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      "name": "Note Adhésive3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        360,
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      "parameters": {
        "color": 7,
        "width": 858.1415560000298,
        "height": 513.2269439624808,
        "content": "## Step 4. Build a Tax Code Assistant ChatBot\n[Learn more about using AI Agents in n8n](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent)\n\nFor our chatbot, we'll use an AI agent node because we want to achieve more than one functionality. The first will be querying to relevant texts to answer a user's question and secondly, a direct search feature to pull full section text when requested."
      },
      "typeVersion": 1
    },
    {
      "id": "d5145c6f-768b-42d8-a045-20e045f52b0b",
      "name": "Note Adhésive4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "color": 7,
        "width": 1030.0926850706744,
        "height": 577.7854680142904,
        "content": "## Step 5. Use Qdrant API as Tools\n[Learn more about using AI Agents in n8n](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent)\n\nOur Ask Tool will generate embeddings using Mistral.ai and query our Qdrant collection using the Qdrant Search API.\nOur Search Tool will use filter our Qdrant collection using the Qdrant Scroll API, matching on each doc's section metadata key."
      },
      "typeVersion": 1
    },
    {
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      "name": "Agent IA",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
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      ],
      "parameters": {
        "options": {
          "systemMessage": "You are a helpful assistant answering user questions on the tax code legistration for the state of Texas, united states of america.\n\nAlong with your response also note in which chapter and section number the information was found. "
        }
      },
      "typeVersion": 1.6
    },
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      "name": "Mémoire Tampon Fenêtrée",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
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      "parameters": {},
      "typeVersion": 1.2
    },
    {
      "id": "a79bdbcd-7157-470a-aadc-bd3f8a4c40d2",
      "name": "À la réception d'un message de chat",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
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      ],
      "webhookId": "db2b118d-942e-4be9-b154-7df887232f97",
      "parameters": {
        "public": true,
        "options": {
          "loadPreviousSession": "memory"
        },
        "initialMessages": ""
      },
      "typeVersion": 1
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      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
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      "parameters": {},
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      "name": "Modèle de Chat OpenAI",
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      "name": "Outil de Question",
      "type": "@n8n/n8n-nodes-langchain.toolWorkflow",
      "position": [
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      "parameters": {
        "name": "query_tax_code_knowledgebase",
        "fields": {
          "values": [
            {
              "name": "route",
              "stringValue": "ask_tool"
            }
          ]
        },
        "workflowId": "={{ $workflow.id }}",
        "description": "Call this tool to query the tax code database for information. Structure your query in the form of a question for best results."
      },
      "typeVersion": 1.1
    },
    {
      "id": "ee455a4e-c9a1-49b2-a036-d3f3d34099c6",
      "name": "Outil de Recherche",
      "type": "@n8n/n8n-nodes-langchain.toolWorkflow",
      "position": [
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      "parameters": {
        "name": "get_tax_code_section",
        "fields": {
          "values": [
            {
              "name": "route",
              "stringValue": "search_tool"
            }
          ]
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        "workflowId": "={{ $workflow.id }}",
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