{
  "workflow": {
    "id": 3414,
    "name": "Slack AI chatbot for business team with RAG, Claude 3.7 Sonnet and Google Drive",
    "views": 9431,
    "recentViews": 1,
    "totalViews": 9431,
    "createdAt": "2025-04-03T07:33:30.762Z",
    "description": "Imagine having an **AI chatbot on Slack** that seamlessly integrates with your company’s workflow, **automating repetitive requests**. No more digging through emails or documents to find answers about IT requests, company policies, or vacation days—just ask the bot, and it will instantly provide the right information.  \n\nWith its **24/7 availability**, the chatbot ensures that team members get immediate support without waiting for a colleague to be online, making assistance faster and more efficient.  \n\nMoreover, this AI-powered bot serves as a **central hub for internal communication**, allowing everyone to quickly access procedures, documents, and company knowledge without searching manually. A simple Slack message is all it takes to get the information you need, enhancing productivity and collaboration across teams.\n\n-----\n\n#### **How It Works**  \n1. **Slack Trigger**: The workflow starts when a user mentions the AI bot in a Slack channel. The trigger captures the message and forwards it to the AI Agent.  \n2. **AI Agent Processing**:  \n   - The AI Agent, powered by Anthropic's Claude 3.7 Sonnet model, processes the query.  \n   - It uses **Retrieval-Augmented Generation (RAG)** to fetch relevant information from the company’s internal knowledge base stored in Qdrant (a vector database).  \n   - A **Simple Memory** buffer retains recent conversation context (last 10 messages) for continuity.  \n3. **Knowledge Retrieval**:  \n   - The RAG tool searches Qdrant’s vector store using OpenAI embeddings to find the most relevant document chunks (top 10 matches).  \n4. **Response Generation**:  \n   - The AI synthesizes the retrieved data into a concise, structured response (1-2 sentences for the answer, 2-3 supporting details, and a source citation).  \n   - The response is formatted in Slack-friendly markdown (bullet points, blockquotes) and sent back to the user.  \n\n---  \n\n#### **Set Up Steps**  \n1. **Prepare Qdrant Vector Database**:  \n   - Create a Qdrant collection via HTTP request (`Create collection` node).  \n   - Optionally, refresh/clear the collection (`Refresh collection` node) before adding new documents.  \n2. **Load Company Documents**:  \n   - Fetch files from a Google Drive folder (`Get folder` → `Download Files`).  \n   - Process documents: Split text into chunks (`Token Splitter`) and generate embeddings (`Embeddings OpenAI2`).  \n   - Store embeddings in Qdrant (`Qdrant Vector Store1`).  \n3. **Configure Slack Bot**:  \n   - Create a Slack bot via Slack API with required permissions\n   - Add the bot to the desired Slack channel and note the `channelId` for the workflow.  \n4. **Deploy AI Components**:  \n   - Connect the AI Agent to Anthropic’s model, RAG tool, and memory buffer.  \n   - Ensure OpenAI embeddings are configured for both RAG and document processing.  \n5. **Test & Activate**:  \n   - Use the manual trigger (`When clicking ‘Test workflow’`) to validate document ingestion.  \n   - Activate the workflow to enable real-time Slack interactions.  \n\n----\n\n### **Need help customizing?**  \n[Contact me](mailto:info@n3w.it) for consulting and support or add me on [Linkedin](https://www.linkedin.com/in/davideboizza/).",
    "workflow": {
      "id": "SHpLY12UobbcWRnl",
      "meta": {
        "instanceId": "a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462",
        "templateCredsSetupCompleted": true
      },
      "name": "Slack AI Chatbot with RAG for company staff",
      "tags": [],
      "nodes": [
        {
          "id": "df994f64-af5b-49f5-ad83-5c4b69983d41",
          "name": "AI Agent",
          "type": "@n8n/n8n-nodes-langchain.agent",
          "position": [
            -780,
            340
          ],
          "parameters": {
            "text": "={{ $json.blocks[0].elements[0].elements[1].text }}",
            "options": {
              "systemMessage": "=You are an AI assistant  connected to the company's internal knowledge base through a RAG (Retrieval Augmented Generation) system. Your purpose is to help team members quickly find and understand information from company documents.\n\nCORE RESPONSIBILITIES:\n- Respond to queries about company policies, procedures, documentation, and internal knowledge\n- Provide concise, accurate information retrieved from the company's document repository\n- Format responses appropriately for Slack (use markdown for clarity)\n- Cite the specific document source when providing information\n\nINTERACTION GUIDELINES:\n- Keep responses brief and to the point (aim for 3-5 sentences when possible)\n- Use bullet points for lists or step-by-step instructions\n- Include direct quotes from documents when relevant, using > for blockquotes\n- When unable to find information, clearly state this and suggest alternative resources\n\nTECHNICAL CONTEXT:\n- You receive queries through Slack messages\n- You use the RAG tool in n8n to search and retrieve relevant document sections\n- All responses should be crafted for readability on Slack's interface\n\nRESPONSE STRUCTURE:\n1. Direct answer to the question (1-2 sentences)\n2. Supporting details from retrieved documents (2-3 sentences or bullet points)\n3. Source citation (document name and date if available)\n4. Follow-up suggestion if applicable (1 sentence)\n\nAlways prioritize accuracy over speed. If multiple documents contain relevant information, synthesize the most important points rather than providing all details. If the query is ambiguous, ask a clarifying question before searching.\n\nRemember that you are a tool to empower employees, not replace human judgment. When questions involve complex decision-making, provide the relevant information and encourage the user to consult with appropriate team members.\n\nDate; {{ $now }}"
            },
            "promptType": "define"
          },
          "typeVersion": 1.8
        },
        {
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          "name": "Simple Memory",
          "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
          "position": [
            -720,
            600
          ],
          "parameters": {
            "sessionKey": "={{ $('Get message').item.json.channel }}_{{ $('Get message').item.json.blocks[0].elements[0].elements[0].user_id }}",
            "sessionIdType": "customKey",
            "contextWindowLength": 10
          },
          "typeVersion": 1.3
        },
        {
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          "position": [
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            800
          ],
          "parameters": {
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
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          "name": "RAG",
          "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
          "position": [
            -420,
            620
          ],
          "parameters": {
            "mode": "retrieve-as-tool",
            "topK": 10,
            "options": {},
            "toolName": "company_info",
            "toolDescription": "Get business documents",
            "qdrantCollection": {
              "__rl": true,
              "mode": "id",
              "value": "COLLECTION"
            }
          },
          "credentials": {
            "qdrantApi": {
              "id": "credential-id",
              "name": "qdrantApi Credential"
            }
          },
          "typeVersion": 1.1
        },
        {
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          "name": "Calculator",
          "type": "@n8n/n8n-nodes-langchain.toolCalculator",
          "position": [
            -560,
            600
          ],
          "parameters": {},
          "typeVersion": 1
        },
        {
          "id": "87a629b9-980f-4d0d-9fee-5efa560770d2",
          "name": "Get message",
          "type": "n8n-nodes-base.slackTrigger",
          "position": [
            -1040,
            340
          ],
          "webhookId": "3146b3e9-4cfc-493f-882c-57c865380115",
          "parameters": {
            "options": {},
            "trigger": [
              "app_mention"
            ],
            "channelId": {
              "__rl": true,
              "mode": "list",
              "value": "C08L6SEPWMB",
              "cachedResultName": "n8n-test"
            }
          },
          "credentials": {
            "slackApi": {
              "id": "credential-id",
              "name": "slackApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "939b309d-1828-4159-b1dc-4a1629069c37",
          "name": "Send message",
          "type": "n8n-nodes-base.slack",
          "position": [
            -420,
            340
          ],
          "webhookId": "946ab278-f815-4bd3-a20d-49ba59d76659",
          "parameters": {
            "text": "={{ $json.output }}",
            "select": "channel",
            "channelId": {
              "__rl": true,
              "mode": "list",
              "value": "C08L6SEPWMB",
              "cachedResultName": "n8n-test"
            },
            "otherOptions": {
              "mrkdwn": true,
              "thread_ts": {
                "replyValues": {
                  "thread_ts": "={{ $('Get message').item.json.event_ts }}",
                  "reply_broadcast": true
                }
              },
              "unfurl_links": true,
              "includeLinkToWorkflow": false
            }
          },
          "credentials": {
            "slackApi": {
              "id": "credential-id",
              "name": "slackApi Credential"
            }
          },
          "typeVersion": 2.3
        },
        {
          "id": "50be03ea-ab0c-48cb-b95a-b096e51c3d16",
          "name": "When clicking ‘Test workflow’",
          "type": "n8n-nodes-base.manualTrigger",
          "position": [
            -1120,
            -1020
          ],
          "parameters": {},
          "typeVersion": 1
        },
        {
          "id": "2a765d76-59c6-49c3-95b4-429e5439da37",
          "name": "Create collection",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            -820,
            -1160
          ],
          "parameters": {
            "url": "https://QDRANTURL/collections/COLLECTION",
            "method": "POST",
            "options": {},
            "jsonBody": "{\n  \"filter\": {}\n}",
            "sendBody": true,
            "sendHeaders": true,
            "specifyBody": "json",
            "authentication": "genericCredentialType",
            "genericAuthType": "httpHeaderAuth",
            "headerParameters": {
              "parameters": [
                {
                  "name": "Content-Type",
                  "value": "application/json"
                }
              ]
            }
          },
          "credentials": {
            "httpHeaderAuth": {
              "id": "credential-id",
              "name": "httpHeaderAuth Credential"
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "66eb2691-4316-4470-aa6d-9696beff6cf2",
          "name": "Refresh collection",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            -820,
            -900
          ],
          "parameters": {
            "url": "https:/YOUR_AWS_SECRET_KEY_HERE/delete",
            "method": "POST",
            "options": {},
            "jsonBody": "{\n  \"filter\": {}\n}",
            "sendBody": true,
            "sendHeaders": true,
            "specifyBody": "json",
            "authentication": "genericCredentialType",
            "genericAuthType": "httpHeaderAuth",
            "headerParameters": {
              "parameters": [
                {
                  "name": "Content-Type",
                  "value": "application/json"
                }
              ]
            }
          },
          "credentials": {
            "httpHeaderAuth": {
              "id": "credential-id",
              "name": "httpHeaderAuth Credential"
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "c0e16404-d82c-418e-b384-d9cc5dceeab6",
          "name": "Get folder",
          "type": "n8n-nodes-base.googleDrive",
          "position": [
            -600,
            -900
          ],
          "parameters": {
            "filter": {
              "driveId": {
                "__rl": true,
                "mode": "list",
                "value": "My Drive",
                "cachedResultUrl": "https://drive.google.com/drive/my-drive",
                "cachedResultName": "My Drive"
              },
              "folderId": {
                "__rl": true,
                "mode": "id",
                "value": "=test-whatsapp"
              }
            },
            "options": {},
            "resource": "fileFolder"
          },
          "credentials": {
            "googleDriveOAuth2Api": {
              "id": "credential-id",
              "name": "googleDriveOAuth2Api Credential"
            }
          },
          "typeVersion": 3
        },
        {
          "id": "ed9768aa-e381-4d53-b0b4-702833e388b9",
          "name": "Download Files",
          "type": "n8n-nodes-base.googleDrive",
          "position": [
            -380,
            -900
          ],
          "parameters": {
            "fileId": {
              "__rl": true,
              "mode": "id",
              "value": "={{ $json.id }}"
            },
            "options": {
              "googleFileConversion": {
                "conversion": {
                  "docsToFormat": "text/plain"
                }
              }
            },
            "operation": "download"
          },
          "credentials": {
            "googleDriveOAuth2Api": {
              "id": "credential-id",
              "name": "googleDriveOAuth2Api Credential"
            }
          },
          "typeVersion": 3
        },
        {
          "id": "0da72902-4338-4610-a48c-ad2762690623",
          "name": "Default Data Loader",
          "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
          "position": [
            20,
            -700
          ],
          "parameters": {
            "options": {},
            "dataType": "binary"
          },
          "typeVersion": 1
        },
        {
          "id": "8783e0bc-df82-4bee-9340-5c788e7f7d3c",
          "name": "Token Splitter",
          "type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
          "position": [
            0,
            -520
          ],
          "parameters": {
            "chunkSize": 300,
            "chunkOverlap": 30
          },
          "typeVersion": 1
        },
        {
          "id": "d3872217-ff7e-4ed7-9992-ab2b6f5af9e1",
          "name": "Sticky Note3",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -620,
            -1220
          ],
          "parameters": {
            "color": 6,
            "width": 880,
            "height": 220,
            "content": "# STEP 1\n\n## Create Qdrant Collection\nChange:\n- QDRANTURL\n- COLLECTION"
          },
          "typeVersion": 1
        },
        {
          "id": "887598e8-5ac2-4433-9bd6-779a028eab14",
          "name": "Qdrant Vector Store1",
          "type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
          "position": [
            -140,
            -900
          ],
          "parameters": {
            "mode": "insert",
            "options": {},
            "qdrantCollection": {
              "__rl": true,
              "mode": "id",
              "value": "=COLLECTION"
            }
          },
          "credentials": {
            "qdrantApi": {
              "id": "credential-id",
              "name": "qdrantApi Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "d0ab0fb8-e4b8-49e2-9d40-74c9855af7b0",
          "name": "Sticky Note5",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -840,
            -960
          ],
          "parameters": {
            "color": 4,
            "width": 620,
            "height": 400,
            "content": "# STEP 2\n\n\n\n\n\n\n\n\n\n\n\n\n## Documents vectorization with Qdrant and Google Drive\nChange:\n- QDRANTURL\n- COLLECTION"
          },
          "typeVersion": 1
        },
        {
          "id": "f3311b6f-1130-41c7-ab3a-447bb617be1b",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1140,
            -1500
          ],
          "parameters": {
            "color": 3,
            "width": 1400,
            "height": 200,
            "content": "# Slack AI Chatbot Workflow with RAG\n\nImagine having an AI chatbot on Slack that seamlessly integrates with your company’s workflow, automating repetitive requests. No more digging through emails or documents to find answers about IT requests, company policies, or vacation days—just ask the bot, and it will instantly provide the right information.\n\nWith its 24/7 availability, the chatbot ensures that team members get immediate support without waiting for a colleague to be online, making assistance faster and more efficient."
          },
          "typeVersion": 1
        },
        {
          "id": "b81155d1-6382-4bd8-96a1-09b063f95c43",
          "name": "Embeddings OpenAI2",
          "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
          "position": [
            -140,
            -680
          ],
          "parameters": {
            "options": {}
          },
          "typeVersion": 1.1
        },
        {
          "id": "7754f8bd-56c2-46c9-85da-d9a49ccf5c81",
          "name": "Sticky Note4",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            -1060,
            -340
          ],
          "parameters": {
            "width": 900,
            "height": 640,
            "content": "# STEP 3\nCreate a Slack Bot [here](https://api.slack.com) and add it to your Slack (Private o Public) channel.\n\nSet \"Scope Subscribe to Bot Event\":\n- app_mention \n- message.channels\n\nSet Bot Token Scopes:\n- app_mentions:read\n- channels:history\n- channels:manage\n- channels:read\n- chat:write\n- files:read\n- groups:history\n- groups:read\n- im:history\n- im:read\n- mpim:history\n- mpim:read\n- reactions:read\n- reactions:write\n- usergroups:read\n- users:read\n\nIn RAG Qdrant node change: \n- COLLECTION"
          },
          "typeVersion": 1
        },
        {
          "id": "9933da43-8797-40ed-b399-49ddeb369e42",
          "name": "Anthropic Chat Model",
          "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
          "position": [
            -900,
            600
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "list",
              "value": "claude-3-7-sonnet-20250219",
              "cachedResultName": "Claude 3.7 Sonnet"
            },
            "options": {}
          },
          "credentials": {
            "anthropicApi": {
              "id": "credential-id",
              "name": "anthropicApi Credential"
            }
          },
          "typeVersion": 1.3
        }
      ],
      "active": false,
      "pinData": {},
      "settings": {
        "executionOrder": "v1"
      },
      "versionId": "9ed2f0d0-c463-4942-be0c-e5b606973048",
      "connections": {
        "RAG": {
          "ai_tool": [
            [
              {
                "node": "AI Agent",
                "type": "ai_tool",
                "index": 0
              }
            ]
          ]
        },
        "AI Agent": {
          "main": [
            [
              {
                "node": "Send message",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Calculator": {
          "ai_tool": [
            [
              {
                "node": "AI Agent",
                "type": "ai_tool",
                "index": 0
              }
            ]
          ]
        },
        "Get folder": {
          "main": [
            [
              {
                "node": "Download Files",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Get message": {
          "main": [
            [
              {
                "node": "AI Agent",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Simple Memory": {
          "ai_memory": [
            [
              {
                "node": "AI Agent",
                "type": "ai_memory",
                "index": 0
              }
            ]
          ]
        },
        "Download Files": {
          "main": [
            [
              {
                "node": "Qdrant Vector Store1",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Token Splitter": {
          "ai_textSplitter": [
            [
              {
                "node": "Default Data Loader",
                "type": "ai_textSplitter",
                "index": 0
              }
            ]
          ]
        },
        "Embeddings OpenAI1": {
          "ai_embedding": [
            [
              {
                "node": "RAG",
                "type": "ai_embedding",
                "index": 0
              }
            ]
          ]
        },
        "Embeddings OpenAI2": {
          "ai_embedding": [
            [
              {
                "node": "Qdrant Vector Store1",
                "type": "ai_embedding",
                "index": 0
              }
            ]
          ]
        },
        "Refresh collection": {
          "main": [
            [
              {
                "node": "Get folder",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Default Data Loader": {
          "ai_document": [
            [
              {
                "node": "Qdrant Vector Store1",
                "type": "ai_document",
                "index": 0
              }
            ]
          ]
        },
        "Anthropic Chat Model": {
          "ai_languageModel": [
            [
              {
                "node": "AI Agent",
                "type": "ai_languageModel",
                "index": 0
              }
            ]
          ]
        },
        "When clicking ‘Test workflow’": {
          "main": [
            [
              {
                "node": "Create collection",
                "type": "main",
                "index": 0
              },
              {
                "node": "Refresh collection",
                "type": "main",
                "index": 0
              }
            ]
          ]
        }
      }
    },
    "lastUpdatedBy": 29,
    "workflowInfo": {
      "nodeCount": 21,
      "nodeTypes": {
        "n8n-nodes-base.slack": {
          "count": 1
        },
        "n8n-nodes-base.stickyNote": {
          "count": 4
        },
        "n8n-nodes-base.googleDrive": {
          "count": 2
        },
        "n8n-nodes-base.httpRequest": {
          "count": 2
        },
        "n8n-nodes-base.slackTrigger": {
          "count": 1
        },
        "n8n-nodes-base.manualTrigger": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.agent": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.toolCalculator": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.lmChatAnthropic": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.embeddingsOpenAi": {
          "count": 2
        },
        "@n8n/n8n-nodes-langchain.vectorStoreQdrant": {
          "count": 2
        },
        "@n8n/n8n-nodes-langchain.memoryBufferWindow": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.documentDefaultDataLoader": {
          "count": 1
        },
        "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter": {
          "count": 1
        }
      }
    },
    "status": "published",
    "user": {
      "name": "Davide",
      "username": "n3witalia",
      "bio": "Full-stack Web Developer based in Italy specialising in Marketing & AI-powered automations. For business enquiries, send me an email at info@n3w.it or add me on Linkedin.com/in/davideboizza",
      "verified": true,
      "links": [
        "https://n3w.it"
      ],
      "avatar": "https://gravatar.com/avatar/d41b8a0aa81139243509c58870f5b4be292824a507ab57d10ed066d8628ed8da?r=pg&d=retro&size=200"
    },
    "nodes": [
      {
        "id": 19,
        "icon": "file:httprequest.svg",
        "name": "n8n-nodes-base.httpRequest",
        "codex": {
          "data": {
            "alias": [
              "API",
              "Request",
              "URL",
              "Build",
              "cURL"
            ],
            "resources": {
              "generic": [
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                  "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/",
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        "name": "n8n-nodes-base.stickyNote",
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            "alias": [
              "Comments",
              "Notes",
              "Sticky"
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              "Core Nodes"
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              "Core Nodes": [
                "Helpers"
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        "group": "[\"input\"]",
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          "color": "#FFD233"
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            "name": "Core Nodes"
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            "codexVersion": "1.0"
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                "Root Nodes"
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        "icon": "file:openAiLight.svg",
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                "Root Nodes"
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              "Language Models": [
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              "Tools": [
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          "name": "Calculator"
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            "name": "Langchain"
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        "icon": "file:binary.svg",
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              "Vector Stores": [
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            "id": 25,
            "name": "AI"
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          {
            "id": 26,
            "name": "Langchain"
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        "id": 1264,
        "icon": "file:slack.svg",
        "name": "n8n-nodes-base.slackTrigger",
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                  "url": "https://docs.n8n.io/integrations/builtin/trigger-nodes/n8n-nodes-base.slacktrigger/"
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              ],
              "credentialDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/credentials/slack/"
                }
              ]
            },
            "categories": [
              "Communication"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"trigger\"]",
        "defaults": {
          "name": "Slack Trigger"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Slack Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 6,
            "name": "Communication"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 42,
        "name": "Internal Wiki"
      },
      {
        "id": 47,
        "name": "AI Chatbot"
      }
    ],
    "image": []
  }
}