Einfaches RAG

Name: Einfaches RAG
Rating: 4.5 (10 reviews)
Author: Aji Prakoso

Fortgeschritten

Dies ist ein Internal Wiki, AI RAG-Bereich Automatisierungsworkflow mit 14 Nodes. Hauptsächlich werden FormTrigger, Agent, ChatTrigger, LmChatOpenAi, RerankerCohere und andere Nodes verwendet. PDF-basiertes RAG-System mit OpenAI, Pinecone und Cohere-Umsortierung bauen

Voraussetzungen

•OpenAI API Key
•Pinecone API Key

Verwendete Nodes (14)

DocumentDefaultDataLoader

TextSplitterRecursiveCharacterTextSplitter

Kategorie

Internes Wiki

KI RAG

Workflow-Vorschau

Visualisierung der Node-Verbindungen, mit Zoom und Pan

Bei Formularübermittlung

Pinecone Vector Store

Embeddings OpenAI

Standard-Datenlader

Rekursiver Zeichentext-Splitter

KI-Agent

Bei Chatnachrichtenempfang

OpenAI Chat Model

Einfacher Speicher

VectorDB

Reranker Cohere

React Flow

Workflow exportieren

Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n

{
  "id": "pDhufDfHS9qRgtLf",
  "meta": {
    "instanceId": "fa52a98dd39f67760c7540fff8a0dd5306d89f766551eb7a7c84b5f43eb33d4c",
    "templateCredsSetupCompleted": true
  },
  "name": "Simple RAG",
  "tags": [],
  "nodes": [
    {
      "id": "93cd13c5-12ad-4c9c-aac7-1886a1d24470",
      "name": "Bei Formularübermittlung",
      "type": "n8n-nodes-base.formTrigger",
      "position": [
        0,
        0
      ],
      "webhookId": "cab3dda4-3b49-4f05-a2c1-915ae4c62017",
      "parameters": {
        "options": {},
        "formTitle": "Upload RAG PDF",
        "formFields": {
          "values": [
            {
              "fieldType": "file",
              "fieldLabel": "File",
              "multipleFiles": false,
              "requiredField": true,
              "acceptFileTypes": ".pdf"
            }
          ]
        },
        "formDescription": "Upload RAG PDF"
      },
      "typeVersion": 2.2
    },
    {
      "id": "13fe2ba5-a24d-4198-8509-882eb4c08e1a",
      "name": "Pinecone Vector Store",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "position": [
        320,
        0
      ],
      "parameters": {
        "mode": "insert",
        "options": {},
        "pineconeIndex": {
          "__rl": true,
          "mode": "list",
          "value": "n8n",
          "cachedResultName": "n8n"
        }
      },
      "credentials": {
        "pineconeApi": {
          "id": "VP5fhue9NYRkdlCj",
          "name": "PineconeApi account"
        }
      },
      "typeVersion": 1.3
    },
    {
      "id": "aa3d1481-3da7-4ae1-9857-c64a71e28443",
      "name": "Embeddings OpenAI",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "position": [
        920,
        460
      ],
      "parameters": {
        "options": {
          "dimensions": 1024
        }
      },
      "credentials": {
        "openAiApi": {
          "id": "y8sLJ2LzZL2c7SGi",
          "name": "OpenAI Webinar"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "17350e15-5b99-493d-acd2-9f44fd661b09",
      "name": "Standard-Datenlader",
      "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
      "position": [
        440,
        220
      ],
      "parameters": {
        "options": {},
        "dataType": "binary",
        "textSplittingMode": "custom"
      },
      "typeVersion": 1.1
    },
    {
      "id": "8199713d-cad8-4d17-937c-1b3b604b95ea",
      "name": "Rekursiver Zeichentext-Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
      "position": [
        520,
        440
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 1
    },
    {
      "id": "fcaf5178-4694-4e20-ac62-8da3c1c8279e",
      "name": "Haftnotiz",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -60,
        -80
      ],
      "parameters": {
        "width": 880,
        "height": 680,
        "content": "## Insert Data to Pinecone"
      },
      "typeVersion": 1
    },
    {
      "id": "e094ded2-c2e9-4139-b6d0-df086f2e2049",
      "name": "KI-Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1440,
        80
      ],
      "parameters": {
        "options": {
          "systemMessage": "Hanya jawab berdasarkan data yang ada di tools \"VectorDB\". Kalau data disitu gak ada, jawab saja kamu tidak tahu."
        }
      },
      "typeVersion": 2
    },
    {
      "id": "015d2a82-3c3d-4604-bbbf-7df57dd24269",
      "name": "Bei Chatnachrichtenempfang",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        1200,
        80
      ],
      "webhookId": "c1f8d15b-e096-47f8-922e-a7484ebbc25c",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "a1b26946-9a3f-4aa2-a723-f91e196943cf",
      "name": "OpenAI Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1280,
        300
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1",
          "cachedResultName": "gpt-4.1"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "y8sLJ2LzZL2c7SGi",
          "name": "OpenAI Webinar"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "6beecd5e-a8fc-4e69-8fbc-a0e0e90c4aa6",
      "name": "Einfacher Speicher",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        1480,
        300
      ],
      "parameters": {},
      "typeVersion": 1.3
    },
    {
      "id": "02b1aa4f-a291-4f2c-b6d9-0290d6b563ae",
      "name": "VectorDB",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "position": [
        1640,
        300
      ],
      "parameters": {
        "mode": "retrieve-as-tool",
        "topK": 20,
        "options": {},
        "useReranker": true,
        "pineconeIndex": {
          "__rl": true,
          "mode": "list",
          "value": "n8n",
          "cachedResultName": "n8n"
        },
        "toolDescription": "Ambil data dari vector database untuk knowledgebase"
      },
      "credentials": {
        "pineconeApi": {
          "id": "VP5fhue9NYRkdlCj",
          "name": "PineconeApi account"
        }
      },
      "typeVersion": 1.3
    },
    {
      "id": "bada58fc-73f4-431f-9702-e742a75ce2c3",
      "name": "Haftnotiz1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1100,
        -80
      ],
      "parameters": {
        "color": 5,
        "width": 860,
        "height": 680,
        "content": "## Chat AI Agent"
      },
      "typeVersion": 1
    },
    {
      "id": "2e572866-dcf7-492f-aebe-35b12bc6b27d",
      "name": "Haftnotiz2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        840,
        300
      ],
      "parameters": {
        "color": 4,
        "height": 300,
        "content": "## Embedding Model"
      },
      "typeVersion": 1
    },
    {
      "id": "6dcbbf3a-3acd-4170-9f79-c2441da18979",
      "name": "Reranker Cohere",
      "type": "@n8n/n8n-nodes-langchain.rerankerCohere",
      "position": [
        1740,
        480
      ],
      "parameters": {},
      "credentials": {
        "cohereApi": {
          "id": "yDA2nh2ZZXkR9tcq",
          "name": "Cohere API Trial"
        }
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {
    "executionOrder": "v1"
  },
  "versionId": "6b1d46bd-ed09-4a25-a95e-fa5a3e2950f7",
  "connections": {
    "02b1aa4f-a291-4f2c-b6d9-0290d6b563ae": {
      "ai_tool": [
        [
          {
            "node": "e094ded2-c2e9-4139-b6d0-df086f2e2049",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "6beecd5e-a8fc-4e69-8fbc-a0e0e90c4aa6": {
      "ai_memory": [
        [
          {
            "node": "e094ded2-c2e9-4139-b6d0-df086f2e2049",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "6dcbbf3a-3acd-4170-9f79-c2441da18979": {
      "ai_reranker": [
        [
          {
            "node": "02b1aa4f-a291-4f2c-b6d9-0290d6b563ae",
            "type": "ai_reranker",
            "index": 0
          }
        ]
      ]
    },
    "aa3d1481-3da7-4ae1-9857-c64a71e28443": {
      "ai_embedding": [
        [
          {
            "node": "13fe2ba5-a24d-4198-8509-882eb4c08e1a",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "02b1aa4f-a291-4f2c-b6d9-0290d6b563ae",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "a1b26946-9a3f-4aa2-a723-f91e196943cf": {
      "ai_languageModel": [
        [
          {
            "node": "e094ded2-c2e9-4139-b6d0-df086f2e2049",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "93cd13c5-12ad-4c9c-aac7-1886a1d24470": {
      "main": [
        [
          {
            "node": "13fe2ba5-a24d-4198-8509-882eb4c08e1a",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "17350e15-5b99-493d-acd2-9f44fd661b09": {
      "ai_document": [
        [
          {
            "node": "13fe2ba5-a24d-4198-8509-882eb4c08e1a",
            "type": "ai_document",
            "index": 0
          }
        ]
      ]
    },
    "13fe2ba5-a24d-4198-8509-882eb4c08e1a": {
      "main": [
        []
      ]
    },
    "015d2a82-3c3d-4604-bbbf-7df57dd24269": {
      "main": [
        [
          {
            "node": "e094ded2-c2e9-4139-b6d0-df086f2e2049",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "8199713d-cad8-4d17-937c-1b3b604b95ea": {
      "ai_textSplitter": [
        [
          {
            "node": "17350e15-5b99-493d-acd2-9f44fd661b09",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    }
  }
}

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.

Für welche Szenarien ist dieser Workflow geeignet?

Fortgeschritten - Internes Wiki, KI RAG

Ist es kostenpflichtig?

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