This workflow corresponds to n8n.io template #2358 — we link there as the canonical source.
This workflow follows the Agent → Chat Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"meta": {
"templateId": "2358"
},
"nodes": [
{
"id": "fb774d11-da48-4481-ad4e-8c93274f123e",
"name": "Send message",
"type": "n8n-nodes-base.slack",
"position": [
2340,
580
],
"parameters": {
"text": "=Data from webhook: {{ $json.query.email }}",
"select": "channel",
"channelId": {
"__rl": true,
"mode": "list",
"value": "C079GL6K3U6",
"cachedResultName": "general"
},
"otherOptions": {},
"authentication": "oAuth2"
},
"typeVersion": 2.2
},
{
"id": "5a3ad8f1-eba7-4076-80fc-0c1237aab50b",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
380,
240
],
"parameters": {
"color": 7,
"width": 1163.3132111854613,
"height": 677.0358687053997,
"content": ""
},
"typeVersion": 1
},
{
"id": "01c59396-0fef-4d1c-aa1f-787669300650",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
1860,
240
],
"parameters": {
"color": 7,
"width": 437,
"height": 99,
"content": "# What is n8n?\n### Low-code Automation Platform for technical teams"
},
"typeVersion": 1
},
{
"id": "0bdd4a35-7f5c-443c-a14a-4e6f7ed18712",
"name": "Execute JavaScript",
"type": "n8n-nodes-base.code",
"position": [
2340,
380
],
"parameters": {
"jsCode": "// Loop over input items and add a new field called 'myNewField' to the JSON of each one\nfor (const item of $input.all()) {\n item.json.myNewField = 1;\n}\n\nreturn $input.all();"
},
"typeVersion": 2
},
{
"id": "4b1b6cc1-1a9f-4a0c-96d5-fd179c84c79d",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
4440,
240
],
"parameters": {
"color": 6,
"width": 318,
"height": 106,
"content": "# Example #2\n### RAG with PDF as source"
},
"typeVersion": 1
},
{
"id": "7e9e7802-5695-4240-83b9-d6f02192ad2b",
"name": "Recursive Character Text Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
5120,
1000
],
"parameters": {
"options": {},
"chunkSize": 3000,
"chunkOverlap": 200
},
"typeVersion": 1
},
{
"id": "63783c21-af6d-4e70-8dec-c861641c53fb",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
4880,
820
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "5742ce9c-2f73-4129-85eb-876f562cf6b1",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
5100,
820
],
"parameters": {
"loader": "pdfLoader",
"options": {
"metadata": {
"metadataValues": [
{
"name": "document-title",
"value": "={{ $('PDFs to download').item.json.whitepaper_title }}"
},
{
"name": "document-publish-year",
"value": "={{ $('PDFs to download').item.json.publish_year }}"
},
{
"name": "document-author",
"value": "={{ $('PDFs to download').item.json.author }}"
}
]
}
},
"dataType": "binary"
},
"typeVersion": 1
},
{
"id": "686c63fa-4672-4107-bd58-ffbb0650b44b",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
5840,
840
],
"parameters": {
"model": "gpt-4o",
"options": {
"temperature": 0.3
}
},
"typeVersion": 1
},
{
"id": "73a7df02-aa2c-4f0f-aa88-38cbbbf3b1cb",
"name": "Embeddings OpenAI2",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
5980,
1140
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "42737305-fd39-4ec7-b4ba-53f70085dd5f",
"name": "Vector Store Retriever",
"type": "@n8n/n8n-nodes-langchain.retrieverVectorStore",
"position": [
6040,
840
],
"parameters": {},
"typeVersion": 1
},
{
"id": "2c7a3666-e123-439d-8b74-41eb375f066c",
"name": "Download PDF",
"type": "n8n-nodes-base.httpRequest",
"position": [
4700,
600
],
"parameters": {
"url": "={{ $json.file_url }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "866eaeb9-6a7c-4209-b485-8ef13ed006b4",
"name": "PDFs to download",
"type": "n8n-nodes-base.noOp",
"notes": "BTC Whitepaper + metadata",
"position": [
4440,
600
],
"parameters": {},
"notesInFlow": true,
"typeVersion": 1
},
{
"id": "e78f2191-096c-4575-9d48-fb891fd18698",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
4440,
440
],
"parameters": {
"color": 4,
"width": 414.36616595939887,
"height": 91.0723900084547,
"content": "## A. Load PDF into Pinecone\nDownload the PDF, then text embeddings into Pincecone"
},
"typeVersion": 1
},
{
"id": "7c3ccf27-32b1-4ea7-b2ef-6997793de733",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
5600,
460
],
"parameters": {
"color": 4,
"width": 284.62109466374466,
"height": 86.95121951219511,
"content": "## B. Chat with PDF\nUse GPT4o to chat with Pinecone index"
},
"typeVersion": 1
},
{
"id": "6063d009-da6e-4cbf-899f-c86b879931a7",
"name": "Read Pinecone Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
5980,
980
],
"parameters": {
"options": {
"pineconeNamespace": "whitepaper"
},
"pineconeIndex": {
"__rl": true,
"mode": "list",
"value": "whitepapers",
"cachedResultName": "whitepapers"
}
},
"typeVersion": 1
},
{
"id": "8aa52156-264d-4911-993c-ac5117a76b21",
"name": "Question and Answer Chain",
"type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
"position": [
5840,
620
],
"parameters": {
"text": "={{ $json.chatInput }}. \nOnly use vector store knowledge to answer the question. Don't make anything up. If you don't know the answer, tell the user that you don't know.",
"promptType": "define"
},
"typeVersion": 1.3
},
{
"id": "b394ee1d-a2ca-4db0-8caa-981f8f066787",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
7380,
240
],
"parameters": {
"color": 6,
"width": 504.25,
"height": 106,
"content": "# Example #3\n### AI Assistant that knows how to use predefined API endpoints "
},
"typeVersion": 1
},
{
"id": "37a8b8f2-c444-4c6e-9b02-b97a5c616e84",
"name": "Sticky Note7",
"type": "n8n-nodes-base.stickyNote",
"position": [
3020,
220
],
"parameters": {
"color": 6,
"width": 318,
"height": 111,
"content": "# Example #1\n### Categorize incoming emails with AI"
},
"typeVersion": 1
},
{
"id": "07123e8e-8760-4c89-acda-aaef6de68be2",
"name": "Anthropic Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
7580,
700
],
"parameters": {
"options": {
"temperature": 0.4
}
},
"typeVersion": 1.2
},
{
"id": "e338a175-e823-4cd4-b77d-f5acbfcbdb9d",
"name": "Get calendar availability",
"type": "@n8n/n8n-nodes-langchain.toolHttpRequest",
"position": [
7900,
700
],
"parameters": {
"url": "https://www.googleapis.com/calendar/v3/freeBusy",
"method": "POST",
"jsonBody": "={\n \"timeMin\": \"{timeMin}\",\n \"timeMax\": \"{timeMax}\",\n \"timeZone\": \"Europe/Berlin\",\n \"groupExpansionMax\": 20,\n \"calendarExpansionMax\": 10,\n \"items\": [\n {\n \"id\": \"max@n8n.io\"\n }\n ]\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"toolDescription": "Call this tool to get the appointment availability for a particular period on the calendar. The tool may refer to availability as \"Free\" or \"Busy\". \n\nUse {timeMin} and {timeMax} to specify the window for the availability query. For example, to get availability for 25 July, 2024 the {timeMin} would be 2024-07-25T09:00:00+02:00 and {timeMax} would be 2024-07-25T17:00:00+02:00.\n\nIf the tool returns an empty response, it means that something went wrong. It does not mean that there is no availability.",
"nodeCredentialType": "googleCalendarOAuth2Api"
},
"typeVersion": 1
},
{
"id": "ae05933c-dfa9-4272-b610-8b5fc94d76fe",
"name": "Appointment booking agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
7680,
480
],
"parameters": {
"options": {
"systemMessage": "=You are an efficient and courteous assistant tasked with scheduling appointments with Max Tkacz.\n\nWhen users mention an appointment or meeting, they are referring to a meeting with Max.\nWhen users refer to the calendar or \"your schedule,\" they are referring to Max's calendar. \n\nYou can use various tools to access and manage Max's calendar. Your primary goal is to assist users in successfully booking an appointment with Max, ensuring no scheduling conflicts. Only book an appointment if the requested time slot is available (the tool may refer to this as \"Free\")\n\nToday's date is {{ $today.format('dd LLL yyyy') }}.\nAppointments are always 30 minutes in length. \n\n\nProvide accurate information at all times. If the tools are not functioning correctly, inform the user that you are unable to assist them at the moment.\n"
}
},
"typeVersion": 1.6
},
{
"id": "7e3b1797-150e-4c7c-93a5-306b981e0b6c",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
8300,
440
],
"parameters": {
"color": 7,
"width": 327.46658341463433,
"height": 571.8601927804875,
"content": "\n[Open Calendar](https://calendar.google.com/calendar/u/0/r/day/2024/7/26)"
},
"typeVersion": 1
},
{
"id": "afe8d14d-d0d0-4a11-bb4f-57358de66bc1",
"name": "Window Buffer Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
7720,
700
],
"parameters": {
"contextWindowLength": 10
},
"typeVersion": 1.2
},
{
"id": "53d131ea-3235-4e4e-828b-dc22c9021e50",
"name": "Sticky Note8",
"type": "n8n-nodes-base.stickyNote",
"position": [
6380,
640
],
"parameters": {
"color": 7,
"width": 615.2162978341456,
"height": 403.1877919219511,
"content": "\nBTC Whitepaper references"
},
"typeVersion": 1
},
{
"id": "55a0f180-bb35-4b35-b72c-b9361698e5ad",
"name": "Sticky Note9",
"type": "n8n-nodes-base.stickyNote",
"position": [
9660,
240
],
"parameters": {
"color": 7,
"width": 345.33741540309194,
"height": 398.9629539487597,
"content": "### Connect with me or explore this demo \ud83d\udc47\n"
},
"typeVersion": 1
},
{
"id": "14b3231d-aa96-4783-be8f-cb2f70b0bc7f",
"name": "Sticky Note10",
"type": "n8n-nodes-base.stickyNote",
"position": [
9220,
240
],
"parameters": {
"color": 7,
"width": 411.2946586626259,
"height": 197.19036476628202,
"content": "# Thank you and happy flowgramming \ud83e\udd18\n\n### Max Tkacz | Senior Developer Advocate @ n8n"
},
"typeVersion": 1
},
{
"id": "c9a2fcdc-c8ab-4b9d-9979-4fd7cca1e8a8",
"name": "Insert into Pinecone vector store",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
4920,
600
],
"parameters": {
"mode": "insert",
"options": {
"clearNamespace": true,
"pineconeNamespace": "whitepaper"
},
"pineconeIndex": {
"__rl": true,
"mode": "list",
"value": "whitepapers",
"cachedResultName": "whitepapers"
}
},
"typeVersion": 1
},
{
"id": "6a890c74-67f9-4eee-bb56-7c9a68921ae1",
"name": "Book appointment",
"type": "@n8n/n8n-nodes-langchain.toolHttpRequest",
"position": [
8060,
700
],
"parameters": {
"url": "https://www.googleapis.com/calendar/v3/calendars/max@n8n.io/events",
"method": "POST",
"jsonBody": "={\n \"summary\": \"Appointment with {userName}\",\n \"start\": {\n \"dateTime\": \"{startTime}\",\n \"timeZone\": \"Europe/Berlin\"\n },\n \"end\": {\n \"dateTime\": \"{endTime}\",\n \"timeZone\": \"Europe/Berlin\"\n },\n \"attendees\": [\n {\"email\": \"max@n8n.io\"},\n {\"email\": \"{userEmail}\"}\n ]\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"toolDescription": "Call this tool to book an appointment in the calendar. ",
"nodeCredentialType": "googleCalendarOAuth2Api",
"placeholderDefinitions": {
"values": [
{
"name": "userName",
"description": "The full name of the user making the appointment. Like John Doe"
},
{
"name": "startTime",
"description": "The start time of the event in Europe/Berlin timezone. For example, 2024-07-24T10:00:00+02:00"
},
{
"name": "endTime",
"description": "The end time of the event in Europe/Berlin timezone. It should always be 30 minutes after the startTime. "
},
{
"name": "userEmail",
"description": "The email address of the user making the appointment"
}
]
}
},
"typeVersion": 1
},
{
"id": "7f6e62f2-2d72-4fd2-a6ef-e57028d0055b",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
5600,
620
],
"parameters": {
"public": true,
"options": {
"title": "Book an appointment with Max"
},
"initialMessages": "Hi there! \ud83d\udc4b\nI can help you schedule an appointment with Max Tkacz. On which day would you like to meet?"
},
"typeVersion": 1.1
},
{
"id": "52c65975-479d-4c76-bcd3-23f5c9bb6acf",
"name": "Sticky Note11",
"type": "n8n-nodes-base.stickyNote",
"position": [
9220,
460
],
"parameters": {
"color": 7,
"width": 411.2946586626259,
"height": 80,
"content": "### Explore 100+ AI Workflow templates on n8n.io\n[Open Templates Library](https://n8n.io/workflows)"
},
"typeVersion": 1
},
{
"id": "ba0635c0-2ca4-4b27-b960-3a0e0f93a56a",
"name": "Sticky Note12",
"type": "n8n-nodes-base.stickyNote",
"position": [
9220,
560
],
"parameters": {
"color": 7,
"width": 411.2946586626259,
"height": 80,
"content": "### Ask a question in our community (13k+ members)\n[Explore n8n community](https://community.n8n.io/)"
},
"typeVersion": 1
},
{
"id": "29227c52-a9cc-4bd1-b1a3-78fb805b659c",
"name": "OpenAI Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
3260,
660
],
"parameters": {
"model": "gpt-4o",
"options": {
"temperature": 0.5
}
},
"typeVersion": 1
},
{
"id": "494a2868-9ff5-402c-b83b-6dd2c3ddbcc9",
"name": "Add automation label",
"type": "n8n-nodes-base.gmail",
"position": [
3760,
300
],
"parameters": {
"labelIds": [
"Label_4763053241338138112"
],
"messageId": "={{ $json.id }}",
"operation": "addLabels"
},
"typeVersion": 2.1
},
{
"id": "0f9d834d-ec47-43f5-945b-8c464d371122",
"name": "On new email to nathan's inbox",
"type": "n8n-nodes-base.gmailTrigger",
"disabled": true,
"position": [
3040,
460
],
"parameters": {
"simple": false,
"filters": {},
"options": {},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
}
},
"typeVersion": 1.1
},
{
"id": "142e2a49-40bd-4bf5-9ba3-f14ecd68618e",
"name": "Add music label",
"type": "n8n-nodes-base.gmail",
"position": [
3760,
500
],
"parameters": {
"labelIds": [
"Label_6822395192337188416"
],
"messageId": "={{ $json.id }}",
"operation": "addLabels"
},
"typeVersion": 2.1
},
{
"id": "2eb46753-a0e8-43ec-a460-466b1dd265c9",
"name": "Assign label with AI",
"type": "@n8n/n8n-nodes-langchain.textClassifier",
"position": [
3280,
460
],
"parameters": {
"options": {},
"inputText": "={{ $json.text }}",
"categories": {
"categories": [
{
"category": "automation",
"description": "email on the topic of automation or workflows and automated processes, includes newsletters on this topic"
},
{
"category": "music",
"description": "email on the topic of music, for example from an artist "
}
]
}
},
"typeVersion": 1
},
{
"id": "576d8206-1b1e-4671-ba45-86e9d844a73b",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
1860,
460
],
"parameters": {
"path": "74facfd7-0f51-4605-9724-2c300594fcf9",
"options": {}
},
"typeVersion": 2
},
{
"id": "1e612376-1a3b-4c48-9cd3-97867ba4cad5",
"name": "Whether email contains n8n",
"type": "n8n-nodes-base.if",
"position": [
2060,
460
],
"parameters": {
"options": {},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "a0b16c44-03ea-4e96-9671-7b168697186d",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json.query.email }}",
"rightValue": "@n8n"
}
]
}
},
"typeVersion": 2
}
],
"connections": {
"Webhook": {
"main": [
[
{
"node": "Whether email contains n8n",
"type": "main",
"index": 0
}
]
]
},
"Download PDF": {
"main": [
[
{
"node": "Insert into Pinecone vector store",
"type": "main",
"index": 0
}
]
]
},
"Book appointment": {
"ai_tool": [
[
{
"node": "Appointment booking agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"PDFs to download": {
"main": [
[
{
"node": "Download PDF",
"type": "main",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Insert into Pinecone vector store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "Question and Answer Chain",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Embeddings OpenAI2": {
"ai_embedding": [
[
{
"node": "Read Pinecone Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "Assign label with AI",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Insert into Pinecone vector store",
"type": "ai_document",
"index": 0
}
]
]
},
"Anthropic Chat Model": {
"ai_languageModel": [
[
{
"node": "Appointment booking agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Assign label with AI": {
"main": [
[
{
"node": "Add automation label",
"type": "main",
"index": 0
}
],
[
{
"node": "Add music label",
"type": "main",
"index": 0
}
]
]
},
"Window Buffer Memory": {
"ai_memory": [
[
{
"node": "Appointment booking agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Vector Store Retriever": {
"ai_retriever": [
[
{
"node": "Question and Answer Chain",
"type": "ai_retriever",
"index": 0
}
]
]
},
"Get calendar availability": {
"ai_tool": [
[
{
"node": "Appointment booking agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Read Pinecone Vector Store": {
"ai_vectorStore": [
[
{
"node": "Vector Store Retriever",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "Question and Answer Chain",
"type": "main",
"index": 0
}
]
]
},
"Whether email contains n8n": {
"main": [
[
{
"node": "Execute JavaScript",
"type": "main",
"index": 0
},
{
"node": "Send message",
"type": "main",
"index": 0
}
]
]
},
"On new email to nathan's inbox": {
"main": [
[
{
"node": "Assign label with AI",
"type": "main",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
}
}
}
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How this works
This workflow empowers AI enthusiasts and developers to build sophisticated chat-based AI interactions that process and retrieve information intelligently, saving hours of manual data handling in demos or prototypes. It is ideal for those presenting advanced AI concepts, such as at meetups, where seamless integration of natural language queries with vector-based retrieval enhances audience engagement. The key step involves splitting incoming text from a chat trigger, embedding it via OpenAI, and retrieving relevant context to generate informed responses, leveraging Slack for real-time messaging.
Use this workflow when demonstrating AI-driven retrieval in interactive sessions, like tech meetups, to showcase how embeddings and vector stores handle complex queries efficiently. Avoid it for production-scale applications without custom scaling, as its 39 nodes suit exploratory demos rather than high-volume traffic. Common variations include swapping OpenAI embeddings for alternative providers or adding post-processing nodes for refined outputs in educational settings.
About this workflow
Advanced Ai Demo (Presented At Ai Developers #14 Meetup). Uses slack, stickyNote, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi. Chat trigger; 39 nodes.
Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →
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