OpenAI-Zitate für RAG-Dateisuche erstellen

Experte

Dies ist ein AI-Bereich Automatisierungsworkflow mit 19 Nodes. Hauptsächlich werden Set, Code, Markdown, SplitOut, Aggregate und andere Nodes verwendet, kombiniert mit KI-Technologie für intelligente Automatisierung. OpenAI-Zitationen für Dateisuche-RAG erstellen

Voraussetzungen
  • Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
  • OpenAI API Key
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
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  "meta": {
    "instanceId": "00493e38fecfc163cb182114bc2fab90114038eb9aad665a7a752d076920d3d5",
    "templateCredsSetupCompleted": true
  },
  "name": "Make OpenAI Citation for File Retrieval RAG",
  "tags": [
    {
      "id": "urxRtGxxLObZWPvX",
      "name": "sample",
      "createdAt": "2024-09-13T02:43:13.014Z",
      "updatedAt": "2024-09-13T02:43:13.014Z"
    },
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      "id": "nMXS3c9l1WqDwWF5",
      "name": "assist",
      "createdAt": "2024-12-23T16:09:38.737Z",
      "updatedAt": "2024-12-23T16:09:38.737Z"
    }
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        "aggregate": "aggregateAllItemData"
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      "alwaysOutputData": true
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      "name": "Window Buffer Memory",
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      "parameters": {},
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      "name": "Notiz4",
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      "parameters": {
        "color": 3,
        "width": 840,
        "height": 80,
        "content": "## Within N8N, there will be a chat button to test"
      },
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    {
      "id": "bf4485b1-cd94-41c8-a183-bf1b785f2761",
      "name": "Notiz",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
        "color": 5,
        "width": 500,
        "height": 720,
        "content": "## Make OpenAI Citation for File Retrieval RAG\n\n## Use case\n\nIn this example, we will ensure that all texts from the OpenAI assistant search for citations and sources in the vector store files. We can also format the output for Markdown or HTML tags.\n\nThis is necessary because the assistant sometimes generates strange characters, and we can also use dynamic references such as citations 1, 2, 3, for example.\n\n## What this workflow does\n\nIn this workflow, we will use an OpenAI assistant created within their interface, equipped with a vector store containing some files for file retrieval.\n\nThe assistant will perform the file search within the OpenAI infrastructure and will return the content with citations.\n\n- We will make an HTTP request to retrieve all the details we need to format the text output.\n\n## Setup\n\nInsert an OpenAI Key\n\n## How to adjust it to your needs\n\nAt the end of the workflow, we have a block of code that will format the output, and there we can add Markdown tags to create links. Optionally, we can transform the Markdown formatting into HTML.\n\n\nby Davi Saranszky Mesquita\nhttps://www.linkedin.com/in/mesquitadavi/"
      },
      "typeVersion": 1
    },
    {
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      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "notes": "https://www.npmjs.com/package/@n8n/chat",
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      "webhookId": "8ccaa299-6f99-427b-9356-e783893a3d0c",
      "parameters": {
        "options": {}
      },
      "notesInFlow": true,
      "typeVersion": 1.1
    },
    {
      "id": "aa5b2951-df32-43ac-9939-83b02d818e73",
      "name": "OpenAI Assistant mit Vector Store",
      "type": "@n8n/n8n-nodes-langchain.openAi",
      "position": [
        580,
        -520
      ],
      "parameters": {
        "options": {
          "preserveOriginalTools": false
        },
        "resource": "assistant",
        "assistantId": {
          "__rl": true,
          "mode": "list",
          "value": "asst_QAfdobVCVCMJz8LmaEC7nlId",
          "cachedResultName": "Teste"
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "UfNrqPCRlD8FD9mk",
          "name": "OpenAi Lourival"
        }
      },
      "typeVersion": 1.7
    },
    {
      "id": "1817b673-6cb3-49aa-9f38-a5876eb0e6fa",
      "name": "Notiz1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "width": 300,
        "content": "## Setup\n\n- Configure OpenAI Key\n\n### In this step, we will use an assistant created within the OpenAI platform that contains a vector store a.k.a file retrieval"
      },
      "typeVersion": 1
    },
    {
      "id": "16429226-e850-4698-b419-fd9805a03fb7",
      "name": "Hole ALLEN Thread-Inhalt",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1260,
        -520
      ],
      "parameters": {
        "url": "=https://api.openai.com/v1/threads/{{ $json.threadId }}/messages",
        "options": {},
        "sendHeaders": true,
        "authentication": "predefinedCredentialType",
        "headerParameters": {
          "parameters": [
            {
              "name": "OpenAI-Beta",
              "value": "assistants=v2"
            }
          ]
        },
        "nodeCredentialType": "openAiApi"
      },
      "credentials": {
        "openAiApi": {
          "id": "UfNrqPCRlD8FD9mk",
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        }
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      "typeVersion": 4.2,
      "alwaysOutputData": true
    },
    {
      "id": "e8c88b08-5be2-4f7e-8b17-8cf804b3fe9f",
      "name": "Notiz2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      ],
      "parameters": {
        "content": "### Retrieving all thread content is necessary because the OpenAI tool does not retrieve all citations upon request."
      },
      "typeVersion": 1
    },
    {
      "id": "0f51e09f-2782-4e2d-b797-d4d58fcabdaf",
      "name": "Trenne alle Nachrichteniterationen aus einem Thread",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        220,
        -300
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "data"
      },
      "typeVersion": 1,
      "alwaysOutputData": true
    },
    {
      "id": "4d569993-1ce3-4b32-beaf-382feac25da9",
      "name": "Trenne allen Inhalt aus einer einzelnen Nachricht",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        460,
        -300
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "content"
      },
      "typeVersion": 1,
      "alwaysOutputData": true
    },
    {
      "id": "999e1c2b-1927-4483-aac1-6e8903f7ed25",
      "name": "Trenne alle Zitate aus einer einzelnen Nachricht",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        700,
        -300
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "text.annotations"
      },
      "typeVersion": 1,
      "alwaysOutputData": true
    },
    {
      "id": "98af62f5-adb0-4e07-a146-fc2f13b851ce",
      "name": "Dateiname anhand einer Datei-ID abrufen",
      "type": "n8n-nodes-base.httpRequest",
      "onError": "continueRegularOutput",
      "position": [
        220,
        120
      ],
      "parameters": {
        "url": "=https://api.openai.com/v1/files/{{ $json.file_citation.file_id }}",
        "options": {},
        "sendQuery": true,
        "authentication": "predefinedCredentialType",
        "queryParameters": {
          "parameters": [
            {
              "name": "limit",
              "value": "1"
            }
          ]
        },
        "nodeCredentialType": "openAiApi"
      },
      "credentials": {
        "openAiApi": {
          "id": "UfNrqPCRlD8FD9mk",
          "name": "OpenAi Lourival"
        }
      },
      "typeVersion": 4.2,
      "alwaysOutputData": true
    },
    {
      "id": "b11f0d3d-bdc4-4845-b14b-d0b0de214f01",
      "name": "Ausgabe regularisieren",
      "type": "n8n-nodes-base.set",
      "position": [
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        120
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "2dcaafee-5037-4a97-942a-bcdd02bc2ad9",
              "name": "id",
              "type": "string",
              "value": "={{ $json.id }}"
            },
            {
              "id": "b63f967d-ceea-4aa8-98b9-91f5ab21bfe8",
              "name": "filename",
              "type": "string",
              "value": "={{ $json.filename }}"
            },
            {
              "id": "f611e749-054a-441d-8610-df8ba42de2e1",
              "name": "text",
              "type": "string",
              "value": "={{ $('Split all citations from a single message').item.json.text }}"
            }
          ]
        }
      },
      "typeVersion": 3.4,
      "alwaysOutputData": true
    },
    {
      "id": "0e999a0e-76ed-4897-989b-228f075e9bfb",
      "name": "Notiz3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        440,
        -60
      ],
      "parameters": {
        "width": 200,
        "height": 220,
        "content": "### A file retrieval request contains a lot of information, and we want only the text that will be substituted and the file name.\n\n- id\n- filename\n- text\n"
      },
      "typeVersion": 1
    },
    {
      "id": "53c79a6c-7543-435f-b40e-966dff0904d4",
      "name": "Notiz5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        700,
        -60
      ],
      "parameters": {
        "width": 200,
        "height": 220,
        "content": "### With the last three splits, we may have many citations and texts to substitute. By doing an aggregation, it will be possible to handle everything as a single request."
      },
      "typeVersion": 1
    },
    {
      "id": "381fb6d6-64fc-4668-9d3c-98aaa43a45ca",
      "name": "Notiz6",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        960,
        -60
      ],
      "parameters": {
        "height": 220,
        "content": "### This simple code will take all the previous files and citations and alter the original text, formatting the output. In this way, we can use Markdown tags to create links, or if you prefer, we can add an HTML transformation node."
      },
      "typeVersion": 1
    },
    {
      "id": "d0cbb943-57ab-4850-8370-1625610a852a",
      "name": "Optional Markdown zu HTML",
      "type": "n8n-nodes-base.markdown",
      "disabled": true,
      "position": [
        1220,
        120
      ],
      "parameters": {
        "html": "={{ $json.output }}",
        "options": {},
        "destinationKey": "output"
      },
      "typeVersion": 1
    },
    {
      "id": "589e2418-5dec-47d0-ba08-420d84f09da7",
      "name": "Ausgabe endgültig formatieren",
      "type": "n8n-nodes-base.code",
      "position": [
        980,
        120
      ],
      "parameters": {
        "mode": "runOnceForEachItem",
        "jsCode": "let saida = $('OpenAI Assistant with Vector Store').item.json.output;\n\nfor (let i of $input.item.json.data) {\n  saida = saida.replaceAll(i.text, \"  _(\"+ i.filename+\")_  \");\n}\n\n$input.item.json.output = saida;\nreturn $input.item;"
      },
      "typeVersion": 2
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "0e621a5a-d99d-4db3-9ae4-ea98c31467e9",
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}
Häufig gestellte Fragen

Wie verwende ich diesen Workflow?

Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.

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Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.

Workflow-Informationen
Schwierigkeitsgrad
Experte
Anzahl der Nodes19
Kategorie1
Node-Typen10
Schwierigkeitsbeschreibung

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