{ "workflow": { "id": 2397, "name": "IT ops AI SlackBot workflow - chat with your knowledge base", "views": 38411, "recentViews": 2, "totalViews": 38411, "createdAt": "2024-09-03T16:53:42.652Z", "description": "![ogimageaiwf14x8 1.png](fileId:840)\n\n## Video Demo:\n\n[Click here to see a video of this workflow in action](https://www.loom.com/share/bbeaa4b9295d4746b2cbab38a40f6f4b?sid=8326242c-3848-47db-872a-116a4b795ca9).\n\n\n## Summary Description:\n\nThe \"IT Department Q&A Workflow\" is designed to streamline and automate the process of handling IT-related inquiries from employees through Slack. When an employee sends a direct message (DM) to the IT department's Slack channel, the workflow is triggered. The initial step involves the \"Receive DMs\" node, which listens for new messages. Upon receiving a message, the workflow verifies the webhook by responding to Slack's challenge request, ensuring that the communication channel is active and secure.\n\nOnce the webhook is verified, the workflow checks if the message sender is a bot using the \"Check if Bot\" node. If the sender is identified as a bot, the workflow terminates the process to avoid unnecessary actions. If the sender is a human, the workflow sends an acknowledgment message back to the user, confirming that their query is being processed. This is achieved through the \"Send Initial Message\" node, which posts a simple message like \"On it!\" to the user's Slack channel.\n\nThe core functionality of the workflow is powered by the \"AI Agent\" node, which utilizes the OpenAI GPT-4 model to interpret and respond to the user's query. This AI-driven node processes the text of the received message, generating an appropriate response based on the context and information available. To maintain conversation context, the \"Window Buffer Memory\" node stores the last five messages from each user, ensuring that the AI agent can provide coherent and contextually relevant answers.\n\nAdditionally, the workflow includes a custom Knowledge Base (KB) tool ([see that tool template here](https://n8n.io/workflows/2398-kb-tool-confluence-knowledge-base/)) that integrates with the AI agent, allowing it to search the company's internal KB for relevant information. After generating the response, the workflow cleans up the initial acknowledgment message using the \"Delete Initial Message\" node to keep the conversation thread clean. Finally, the generated response is sent back to the user via the \"Send Message\" node, providing them with the information or assistance they requested. This workflow effectively automates the IT support process, reducing response times and improving efficiency.\n\nTo quickly deploy the Knowledge Ninja app in Slack, use the app manifest below and don't forget to replace the two sample urls:\n\n```\n{\n \"display_information\": {\n \"name\": \"Knowledge Ninja\",\n \"description\": \"IT Department Q&A Workflow\",\n \"background_color\": \"#005e5e\"\n },\n \"features\": {\n \"bot_user\": {\n \"display_name\": \"IT Ops AI SlackBot Workflow\",\n \"always_online\": true\n }\n },\n \"oauth_config\": {\n \"redirect_urls\": [\n \"Replace everything inside the double quotes with your slack redirect oauth url, for example: https://n8n.domain.com/rest/oauth2-credential/callback\"\n ],\n \"scopes\": {\n \"user\": [\n \"search:read\"\n ],\n \"bot\": [\n \"chat:write\",\n \"chat:write.customize\",\n \"groups:history\",\n \"groups:read\",\n \"groups:write\",\n \"groups:write.invites\",\n \"groups:write.topic\",\n \"im:history\",\n \"im:read\",\n \"im:write\",\n \"mpim:history\",\n \"mpim:read\",\n \"mpim:write\",\n \"mpim:write.topic\",\n \"usergroups:read\",\n \"usergroups:write\",\n \"users:write\",\n \"channels:history\"\n ]\n }\n },\n \"settings\": {\n \"event_subscriptions\": {\n \"request_url\": \"Replace everything inside the double quotes with your workflow webhook url, for example: https://n8n.domain.com/webhook/99db3e73-57d8-4107-ab02-5b7e713894ad\",\n \"bot_events\": [\n \"message.im\"\n ]\n },\n \"org_deploy_enabled\": false,\n \"socket_mode_enabled\": false,\n \"token_rotation_enabled\": false\n }\n}\n\n```\n", "workflow": { "meta": { "instanceId": "cb484ba7b742928a2048bf8829668bed5b5ad9787579adea888f05980292a4a7" }, "nodes": [ { "id": "96ef3bfe-a493-4377-b090-6b2d02d87480", "name": "Verify Webhook", "type": "n8n-nodes-base.respondToWebhook", "position": [ 1420, 800 ], "parameters": { "options": { "responseCode": 200, "responseHeaders": { "entries": [ { "name": "Content-type", "value": "application/json" } ] } }, "respondWith": "json", "responseBody": "={\"challenge\":\"{{ $json.body.challenge }}\"}" }, "typeVersion": 1 }, { "id": "38db6da6-13bf-47a1-b5cb-f06403b309ac", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 2120, 1220 ], "parameters": { "model": "gpt-4o", "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1 }, { "id": "139b606d-29ae-480d-bde7-458ef45dba01", "name": "No Operation, do nothing", "type": "n8n-nodes-base.noOp", "position": [ 1840, 700 ], "parameters": {}, "typeVersion": 1 }, { "id": "64acd4c6-cd53-46e5-a29e-40884044b186", "name": "Window Buffer Memory", "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "position": [ 2800, 1220 ], "parameters": { "sessionKey": "={{ $('Receive DMs').item.json[\"body\"][\"event\"][\"channel\"] }}", "sessionIdType": "customKey", "contextWindowLength": 10 }, "typeVersion": 1.2 }, { "id": "e605864f-198e-4358-8333-50ed962d4e50", "name": "Check if Bot", "type": "n8n-nodes-base.if", "position": [ 1640, 800 ], "parameters": { "options": {}, "conditions": { "options": { "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "89ed1b2a-5e42-4196-989d-f7f81df04b6d", "operator": { "type": "string", "operation": "notExists", "singleValue": true }, "leftValue": "={{ $json.body.event.user }}", "rightValue": "" } ] } }, "typeVersion": 2 }, { "id": "8479c41e-b251-4f32-8daa-421969c4c8b3", "name": "Send Initial Message", "type": "n8n-nodes-base.slack", "position": [ 2140, 820 ], "parameters": { "text": "On it! Let me check Confluence to see if there are any relevant links to answer your question. ", "select": "channel", "channelId": { "__rl": true, "mode": "id", "value": "={{ $('Receive DMs').item.json[\"body\"][\"event\"][\"channel\"] }}" }, "otherOptions": { "botProfile": { "imageValues": { "icon_url": "https://avatars.slack-edge.com/2024-08-30/7671440019297_d6ce97ff3ab5a3abf9c1_72.jpg", "profilePhotoType": "image" } }, "includeLinkToWorkflow": false } }, "credentials": { "slackApi": { "id": "credential-id", "name": "slackApi Credential" } }, "typeVersion": 2.1 }, { "id": "dcd325b1-1ee8-4133-9a6e-8b37bf20d056", "name": "Delete Initial Message", "type": "n8n-nodes-base.slack", "position": [ 2960, 760 ], "parameters": { "select": "channel", "channelId": { "__rl": true, "mode": "id", "value": "={{ $('Receive DMs').item.json[\"body\"][\"event\"][\"channel\"] }}" }, "operation": "delete", "timestamp": "={{ $('Send Initial Message').item.json[\"message_timestamp\"] }}" }, "credentials": { "slackApi": { "id": "credential-id", "name": "slackApi Credential" } }, "typeVersion": 2.1 }, { "id": "8d3ac15c-b0bc-459c-9523-685b7f498efb", "name": "Send Message", "type": "n8n-nodes-base.slack", "position": [ 3160, 760 ], "parameters": { "text": "={{ $('AI Agent').item.json.output.replace(/\\[(.+?)\\]\\((.+?)\\)/g, '<$2|$1>').replace(/\\*\\*(.+?)\\*\\*/g, '*$1*') }}", "select": "channel", "channelId": { "__rl": true, "mode": "id", "value": "={{ $('Receive DMs').item.json[\"body\"][\"event\"][\"channel\"] }}" }, "otherOptions": { "botProfile": { "imageValues": { "icon_url": "https://avatars.slack-edge.com/2024-08-30/7671440019297_d6ce97ff3ab5a3abf9c1_72.jpg", "profilePhotoType": "image" } }, "includeLinkToWorkflow": false } }, "credentials": { "slackApi": { "id": "credential-id", "name": "slackApi Credential" } }, "typeVersion": 2.1 }, { "id": "02afa6b3-c528-4925-8b92-7b708b10e7ca", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ 1160, 460 ], "parameters": { "color": 7, "width": 414.5626477541374, "height": 516.5011820330969, "content": "![Imgur](https://i.imgur.com/iKyMV0N.png)\n## Webhook Trigger\nThe first node receives all messages from Slack API via Subscription Events API. You can find more information about setting up the subscription events API by [clicking here](https://api.slack.com/apis/connections/events-api). The second node responds to the periodic security challenges that Slack sends to ensure the N8n webhook is still active. " }, "typeVersion": 1 }, { "id": "a8caa088-80dd-44a8-8c61-7a03a37de386", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ 1600, 460 ], "parameters": { "color": 7, "width": 403.49881796690335, "height": 517.6832151300242, "content": "![n8n](https://i.imgur.com/lKnBNnH.png)\n## Check for Bot Responses\nIf the message received is from a Bot instead of a real user, it will ignore the message." }, "typeVersion": 1 }, { "id": "17b51014-4f9d-4650-963b-8d8d944869ea", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ 2900, 460 ], "parameters": { "color": 7, "width": 430.54373522458616, "height": 451.3947990543734, "content": "![Slack](https://i.imgur.com/iKyMV0N.png)\n## Delete Receipt and Send Response \nOnce the AI response is generated in response to the slack message, n8n delete's it's original *Message Received* message to avoid cluttering up the user's DMs, and then sends the final Slack message back to the user. " }, "typeVersion": 1 }, { "id": "494a9ada-18e9-48a6-86a9-5e72cc797ddf", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ 2394.7517730496443, 460 ], "parameters": { "color": 7, "width": 488.1796690307332, "height": 723.5460992907797, "content": "![OpenAI](https://i.imgur.com/o89G0If.png)\n## Parse Response with AI Model \nThis workflow currently uses OpenAI to power it's responses, but you can open the AI Agent node below and set your own AI LLM using the n8n options offered. " }, "typeVersion": 1 }, { "id": "31bc923f-c981-45fd-827d-cede2ec3f3c3", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 2020, 460 ], "parameters": { "color": 7, "width": 356.5484633569741, "height": 516.5011820330968, "content": "![Slack](https://i.imgur.com/iKyMV0N.png)\n## Response Received\nOnce N8n sees that the messaged received is from a user, it will respond right away to acknowledge a message was received. You can edit the message by opening the node below. " }, "typeVersion": 1 }, { "id": "e81d6b07-9ac0-4848-ab7f-57a588103ce5", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 2980, 1200 ], "parameters": { "color": 7, "width": 951.1571908442271, "height": 467.66775526888296, "content": "![n8n](https://i.imgur.com/FWJX4km.png)\n## Build n8n workflow to query Knowledge Base\nBuilding your own tools for an AI Agent to use is simple and straightforward, but requires that you build a second workflow and then connect it to this one by inputting the workflow ID from the workflow URL in the *Custom n8n KB Tool* sub node. \n\nThis gives you the freedom to work with any tool, whether n8n has support for it or not. In this sample build, we have connected the AI agent to Confluence, which does not have a native built in n8n node. For this we use the HTTP request node and pointed it to Confluence's search api. It then returns a response that the AI agent uses to generate a final slack message response to the user. " }, "typeVersion": 1 }, { "id": "890aeb96-1721-4cb4-a609-5409b30d5f6c", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [ 2320, 1200 ], "parameters": { "color": 7, "width": 644.582152697438, "height": 318.6662788502134, "content": "![n8n](https://i.imgur.com/lKnBNnH.png)\n\n## Remembers the last 5 messages that a user sent\nBecause we are passing the channel ID of the user to the memory module, n8n is storing the last 5 slack messages sent to it per slack channel. This means that it will remember all your users conversations separately from one another and not get confused by different requests from different users. You can increase the memory storage by using a different storage medium and increase the number of prompts and responses it should remember. " }, "typeVersion": 1 }, { "id": "1fa61c12-70d1-4d7e-8564-a2a574804243", "name": "Sticky Note7", "type": "n8n-nodes-base.stickyNote", "position": [ 1660, 1200 ], "parameters": { "color": 7, "width": 644.582152697438, "height": 318.6662788502134, "content": "![OpenAI](https://i.imgur.com/o89G0If.png)\n\n## Change the AI Agents LLM\nTo change the model used, simply delete the ChatGPT model and replace with a different supported model by hitting the plus sign under model in the AI Agent." }, "typeVersion": 1 }, { "id": "fecd81da-4723-4886-8d6f-9729623028a9", "name": "Sticky Note8", "type": "n8n-nodes-base.stickyNote", "position": [ 460, 460 ], "parameters": { "width": 675.1724774900403, "height": 994.2389415638766, "content": "![n8n](https://i.imgur.com/lKnBNnH.png)\n# Streamline IT Inquiries with n8n & AI!\n\n## Introducing the IT Ops AI SlackBot Workflow---a sophisticated solution designed to automate and optimize the management of IT-related inquiries via Slack.\n\nWhen an employee messages the IT department slack app, the workflow kicks off with the \"Receive DMs\" node, which captures incoming messages and ensures a secure and active communication line by responding to Slack's webhook challenges.\n\n**How It Works:**\n\n- Verify Webhook: Responds to slacks challenge and respond requests to ensure is still active.\n- Check if bot: Checks whether the message sender is a bot to prevent unnecessary processing.\n- Send Initial Message: Sends a quick confirmation, like \"On it!\", to let the user know their query is being handled.\n- AI-Driven Responses: Employs the \"AI Agent\" node with OpenAI to craft relevant replies based on the conversation history maintained by the \"Window Buffer Memory\" node.\n- Knowledge Integration tool: Uses a custom Knowledge Base tool to fetch pertinent information from confluence, enhancing the quality of responses.\n- Cleanup and Reply: Deletes the initial acknowledgment to tidy up before sending the final detailed response back to the user.\n\n\n**Get Started:**\n- Ensure your [Slack](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.slack/?utm_source=n8n_app&utm_medium=node_settings_modal-credential_link&utm_campaign=n8n-nodes-base.slack) and [OpenAI](https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenai/?utm_source=n8n_app&utm_medium=node_settings_modal-credential_link&utm_campaign=@n8n/n8n-nodes-langchain.lmChatOpenAi) integrations are properly set up.\n- Customize the workflow to align with your IT department's protocols.\n\n\n**Need Help?**\n- Join the discussion on our Forum or check out resources on Discord!\n\n\nDeploy this workflow to improve response times and enhance the efficiency of your IT support services." }, "typeVersion": 1 }, { "id": "16b79887-8218-4056-8add-39ebee6166bd", "name": "Receive DMs", "type": "n8n-nodes-base.webhook", "position": [ 1200, 800 ], "webhookId": "44c26a10-d54a-46ce-a522-5d83e8a854be", "parameters": { "path": "44c26a10-d54a-46ce-a522-5d83e8a854be", "options": {}, "httpMethod": "POST", "responseMode": "responseNode" }, "typeVersion": 2 }, { "id": "201b5399-6fff-48ca-81f0-a5cfc02c46d5", "name": "Call Confluence Workflow Tool", "type": "@n8n/n8n-nodes-langchain.toolWorkflow", "position": [ 3380, 1280 ], "parameters": { "name": "confluence_kb_search", "workflowId": { "__rl": true, "mode": "list", "value": "Pxzc65WaCPn2yB5I", "cachedResultName": "KB Tool - Confluence KB" }, "description": "Call this tool to search n8n-labs confluence knowledge base. The input should be the user prompt reduced into 1 to 3 keywords to use for a KB search. These words should be words that are most likely to be contained in the text of a KB article that is helpful based on the user prompt. The words should be the only response and they should just be separated by a space." }, "typeVersion": 1.2 }, { "id": "41026e03-5844-4e57-86bf-fc7e586265a4", "name": "AI Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 2500, 820 ], "parameters": { "text": "={{ $('Receive DMs').item.json.body.event.text }}", "options": { "humanMessage": "TOOLS\n------\nAssistant can ask the user to use tools to look up information that may be helpful in answering the users original question. The tools the human can use are:\n\n{tools}\n\nIf no response is given for a given tool or the response is an error, then do not reference the tool results and instead ask for more context. \n\nThe tools currently search Notion and returns back a list of results. Please try to respond using the most relevant result URL to guide the user to the right answer. \n\nIf you are not sure, let the user know you were unable to find a notion page for them to help, but give them the top results that are relevant to their request.\n\nPlease summarize the results and return all the URLs exactly as you get them from the tool. Please format all links you send in this format: \nAdditionally, here are other formatting layouts to use: \n_italic_ will produce italicized text\n*bold* will produce bold text\n~strike~ will produce strikethrough text\n\n{format_instructions}\n\nUSER'S INPUT\n--------------------\nHere is the user's input (remember to respond with a slack flavored (see above for more details) code snippet of a json blob with a single action, and NOTHING else):\n\n{{input}}\n", "maxIterations": 2, "systemMessage": "You are Knowledge Ninja, a specialized IT support tool developed to streamline interactions between employees and the IT department and the company knowledge base. \n\nDesigned with efficiency in mind, Knowledge Ninja is equipped to handle a variety of IT-related queries, from sales competition analysis to troubleshooting to more complex technical guidance.\n\nAs a dynamic knowledge tool, Knowledge Ninja utilizes a comprehensive internal knowledge base that can be tailored to your organization's specific IT infrastructure and policies. \n\nThis allows it to deliver precise and contextually relevant information swiftly, enhancing the support process.\n\nKnowledge Ninja is continuously updated to reflect the latest IT standards and practices, ensuring that the guidance it provides is both accurate and up-to-date. \n\nIts capabilities include understanding detailed queries, providing step-by-step troubleshooting instructions, and clarifying IT policies.\n\nPlease format all links you send in this format: \nAdditionally, here are other formatting layouts to use: \n_italic_ will produce italicized text\n*bold* will produce bold text\n~strike~ will produce strikethrough text" }, "promptType": "define" }, "typeVersion": 1.5 } ], "pinData": {}, "connections": { "AI Agent": { "main": [ [ { "node": "Delete Initial Message", "type": "main", "index": 0 } ] ] }, "Receive DMs": { "main": [ [ { "node": "Verify Webhook", "type": "main", "index": 0 } ] ] }, "Check if Bot": { "main": [ [ { "node": "No Operation, do nothing", "type": "main", "index": 0 } ], [ { "node": "Send Initial Message", "type": "main", "index": 0 } ] ] }, "Verify Webhook": { "main": [ [ { "node": "Check if Bot", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model": { "ai_languageModel": [ [ { "node": "AI Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "Send Initial Message": { "main": [ [ { "node": "AI Agent", "type": "main", "index": 0 } ] ] }, "Window Buffer Memory": { "ai_memory": [ [ { "node": "AI Agent", "type": "ai_memory", "index": 0 } ] ] }, "Delete Initial Message": { "main": [ [ { "node": "Send Message", "type": "main", "index": 0 } ] ] }, "Call Confluence Workflow Tool": { "ai_tool": [ [ { "node": "AI Agent", "type": "ai_tool", "index": 0 } ] ] } } }, "lastUpdatedBy": 29, "workflowInfo": { "nodeCount": 20, "nodeTypes": { "n8n-nodes-base.if": { "count": 1 }, "n8n-nodes-base.noOp": { "count": 1 }, "n8n-nodes-base.slack": { "count": 3 }, "n8n-nodes-base.webhook": { "count": 1 }, "n8n-nodes-base.stickyNote": { "count": 9 }, "@n8n/n8n-nodes-langchain.agent": { "count": 1 }, "n8n-nodes-base.respondToWebhook": { "count": 1 }, "@n8n/n8n-nodes-langchain.lmChatOpenAi": { "count": 1 }, "@n8n/n8n-nodes-langchain.toolWorkflow": { "count": 1 }, "@n8n/n8n-nodes-langchain.memoryBufferWindow": { "count": 1 } } }, "status": "published", "user": { "name": "Angel Menendez", "username": "djangelic", "bio": "Angel Menendez is a Staff Developer Advocate at n8n.io, specializing in low-code tools for cybersecurity workflows. From Puerto Rico, Angel's tech journey began by helping his father translate technical books. He later started a web development business and transitioned from a career as a flight attendant to cybersecurity engineering. His workflows have saved companies significant time. Outside work, Angel enjoys time with his two sons, riding electric bikes, reading, and exploring new places.", "verified": true, "links": [ "" ], "avatar": "https://gravatar.com/avatar/fdbe38425d21378d8c9ba8916e1eb0b320add299f12cc23fcd4961d4e6e00bec?r=pg&d=retro&size=200" }, "nodes": [ { "id": 20, "icon": "fa:map-signs", "name": "n8n-nodes-base.if", "codex": { "data": { "alias": [ "Router", "Filter", "Condition", "Logic", "Boolean", "Branch" ], "details": "The IF node can be used to implement binary conditional logic in your workflow. You can set up one-to-many conditions to evaluate each item of data being inputted into the node. That data will either evaluate to TRUE or FALSE and route out of the node accordingly.\n\nThis node has multiple types of conditions: Bool, String, Number, and Date & Time.", "resources": { "generic": [ { "url": "https://n8n.io/blog/learn-to-automate-your-factorys-incident-reporting-a-step-by-step-guide/", "icon": "🏭", "label": "Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide" }, { "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/", "icon": "β˜€οΈ", "label": "2021: The Year to Automate the New You with n8n" }, { "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/", "icon": "🧬", "label": "Why business process automation with n8n can change your daily life" }, { "url": "https://n8n.io/blog/create-a-toxic-language-detector-for-telegram/", "icon": "🀬", "label": "Create a toxic language detector for Telegram in 4 step" }, { "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/", 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