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 →
{
"name": "Geminis",
"nodes": [
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "b0ef5220-5b21-4828-b28a-68e5184e74fe",
"name": "q",
"value": "What is google a2a?",
"type": "string"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
-160,
544
],
"id": "039d526a-b12f-4da9-9217-49fe6da60c20",
"name": "Edit Fields"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
-384,
544
],
"id": "da169af4-43eb-47ac-9027-160d3bc8d016",
"name": "When clicking \u2018Execute workflow\u2019"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.toolSerpApi",
"typeVersion": 1,
"position": [
144,
672
],
"id": "c0be1b3f-0354-4703-b2bc-84f66e9d38fc",
"name": "SerpAPI",
"credentials": {
"serpApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"modelId": {
"__rl": true,
"value": "models/gemini-2.5-flash",
"mode": "list",
"cachedResultName": "models/gemini-2.5-flash"
},
"messages": {
"values": [
{
"content": "={{ $json.q }}"
}
]
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"typeVersion": 1,
"position": [
64,
448
],
"id": "d3776fe0-c660-4732-bbe1-d74ceeaad21e",
"name": "Direct Answer",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"typeVersion": 1.3,
"position": [
-368,
800
],
"id": "01c39294-42a4-4c8b-9eba-08e2070ce036",
"name": "When chat message received"
},
{
"parameters": {
"hasOutputParser": true,
"options": {
"systemMessage": "You are a helpful assistant. Always use all tools"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 2.2,
"position": [
-32,
800
],
"id": "bc4cf91d-c4df-4c3e-8ce6-0e5553c759cd",
"name": "AI Agent"
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"typeVersion": 1,
"position": [
-160,
992
],
"id": "bbf2ae4d-9336-4ea4-9fcd-3ad856bf9972",
"name": "Google Gemini Chat Model",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsonSchemaExample": "{\n\t\"answer\": \"\",\n\t\"insights\": [\"\", \"\", \"\"],\n\t\"references\": [\"\", \"\", \"\"]\n}"
},
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"typeVersion": 1.3,
"position": [
240,
1024
],
"id": "5c51c6c8-fa59-4d83-9155-c8e71c04cb4b",
"name": "Structured Output Parser"
},
{
"parameters": {
"databaseName": "n8n"
},
"type": "@n8n/n8n-nodes-langchain.memoryMongoDbChat",
"typeVersion": 1,
"position": [
-16,
1024
],
"id": "7754c4ab-942a-42a2-8c7a-0c8fbe044720",
"name": "MongoDB Chat Memory",
"credentials": {
"mongoDb": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.toolSerpApi",
"typeVersion": 1,
"position": [
112,
1024
],
"id": "3e40499b-ec7f-4ead-b719-13bda02180e0",
"name": "SerpAPI Tool",
"credentials": {
"serpApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"resource": "document",
"modelId": {
"__rl": true,
"value": "models/gemini-2.0-flash-lite",
"mode": "list",
"cachedResultName": "models/gemini-2.0-flash-lite"
},
"text": "What's in this document?, summarize in one paraphrase",
"documentUrls": "https://raw.githubusercontent.com/romellfudi/english/9b591b152a5f9cba4d79828437014911dc7baebe/ai/dataScience.md?token=GHSAT0AAAAAADFWGSEUDINEGHMPLLBPGZFO2FXLSZQ",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"typeVersion": 1,
"position": [
-368,
1168
],
"id": "60f3ff95-77ac-460d-8739-f5a15bb6f0b3",
"name": "Analyze document",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"resource": "file",
"fileUrl": "https://raw.githubusercontent.com/romellfudi/english/9b591b152a5f9cba4d79828437014911dc7baebe/ai/dataScience.md?token=GHSAT0AAAAAADFWGSEUDINEGHMPLLBPGZFO2FXLSZQ"
},
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"typeVersion": 1,
"position": [
-16,
1200
],
"id": "8e1055d2-dc52-408c-9ddd-e99a44823b5d",
"name": "Upload a file",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"resource": "document",
"modelId": {
"__rl": true,
"value": "models/gemini-2.5-flash-lite",
"mode": "list",
"cachedResultName": "models/gemini-2.5-flash-lite"
},
"text": "=What's in this document(type:{{ $json.mimeType }})? ",
"documentUrls": "={{ $json.fileUri }}",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"typeVersion": 1,
"position": [
192,
1200
],
"id": "d3b51855-9357-4b2b-9d93-abd3048cea62",
"name": "Analyze document1",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"resource": "audio",
"operation": "analyze",
"modelId": {
"__rl": true,
"value": "models/gemini-2.5-pro",
"mode": "list",
"cachedResultName": "models/gemini-2.5-pro"
},
"audioUrls": "https://github.com/rafaelreis-hotmart/Audio-Sample-files/raw/refs/heads/master/sample.mp3",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"typeVersion": 1,
"position": [
-256,
1360
],
"id": "4f26d691-eb55-4662-9242-c814cc679320",
"name": "Analyze audio",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"resource": "image",
"modelId": {
"__rl": true,
"value": "models/gemini-2.0-flash-preview-image-generation",
"mode": "list",
"cachedResultName": "models/gemini-2.0-flash-preview-image-generation"
},
"prompt": "A cute funny cartoon llama in a decorated room, playing video games in his laptop",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"typeVersion": 1,
"position": [
48,
1408
],
"id": "b2f178eb-d90b-45ab-860c-e720138b8292",
"name": "Generate an image",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"resource": "audio",
"modelId": {
"__rl": true,
"value": "models/gemini-2.5-pro",
"mode": "list",
"cachedResultName": "models/gemini-2.5-pro"
},
"audioUrls": "https://storage.googleapis.com/kagglesdsdata/datasets/829978/1417968/harvard.wav?X-Goog-Algorithm=GOOG4-RSA-SHA256&X-Goog-Credential=databundle-worker-v2%40kaggle-161607.iam.gserviceaccount.com%2F20250902%2Fauto%2Fstorage%2Fgoog4_request&X-Goog-Date=20250902T193042Z&X-Goog-Expires=345600&X-Goog-SignedHeaders=host&X-Goog-Signature=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",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"typeVersion": 1,
"position": [
304,
1440
],
"id": "4d01bea9-da7a-4b7e-9a35-b7aa1b174dcf",
"name": "Transcribe a recording",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"mode": "insert",
"memoryKey": {
"__rl": true,
"mode": "list",
"value": "vector_store_key"
}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreInMemory",
"typeVersion": 1.3,
"position": [
-384,
1600
],
"id": "cd30b38a-77b9-4425-959e-6216d3ddd5e5",
"name": "Simple Vector Store"
},
{
"parameters": {},
"type": "@n8n/n8n-nodes-langchain.embeddingsGoogleGemini",
"typeVersion": 1,
"position": [
-80,
1792
],
"id": "ff04a2f5-4346-4dde-b827-0fb72ac8c0c6",
"name": "Embeddings Google Gemini",
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"dataType": "binary",
"textSplittingMode": "custom",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"typeVersion": 1.1,
"position": [
-496,
1776
],
"id": "ec5fdc23-0311-4b2f-be13-ba5961c6e312",
"name": "Default Data Loader"
},
{
"parameters": {
"formTitle": "Upload your data to test RAG",
"formFields": {
"values": [
{
"fieldLabel": "Upload your file(s)",
"fieldType": "file",
"acceptFileTypes": ".pdf, .csv",
"requiredField": true
}
]
},
"options": {}
},
"type": "n8n-nodes-base.formTrigger",
"typeVersion": 2.2,
"position": [
-592,
1600
],
"id": "58b3d482-8fe2-4756-9e37-4c222784c472",
"name": "Upload your file here"
},
{
"parameters": {
"mode": "retrieve-as-tool",
"toolName": "knowledge_base",
"toolDescription": "Use this knowledge base to answer questions from the user",
"memoryKey": {
"__rl": true,
"value": "vector_store_key",
"mode": "list",
"cachedResultName": "vector_store_key"
}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreInMemory",
"typeVersion": 1.2,
"position": [
-64,
1632
],
"id": "18e162e7-a4a8-442c-a96f-feab970a47b7",
"name": "Query Data Tool"
},
{
"parameters": {
"chunkOverlap": 50,
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"typeVersion": 1,
"position": [
-224,
1888
],
"id": "a5ffde9f-2c00-4149-adc0-00d0b5f00d05",
"name": "Recursive Character Text Splitter"
}
],
"connections": {
"When clicking \u2018Execute workflow\u2019": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "Direct Answer",
"type": "main",
"index": 0
}
]
]
},
"SerpAPI": {
"ai_tool": [
[
{
"node": "Direct Answer",
"type": "ai_tool",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "AI Agent",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[]
]
},
"MongoDB Chat Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"SerpAPI Tool": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Upload a file": {
"main": [
[
{
"node": "Analyze document1",
"type": "main",
"index": 0
}
]
]
},
"Embeddings Google Gemini": {
"ai_embedding": [
[
{
"node": "Simple Vector Store",
"type": "ai_embedding",
"index": 0
},
{
"node": "Query Data Tool",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Simple Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Upload your file here": {
"main": [
[
{
"node": "Simple Vector Store",
"type": "main",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "1f28299f-130a-4507-9042-955391840514",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "pPKK4F17K0wmeozT",
"tags": []
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
googlePalmApimongoDbserpApi
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About this workflow
Geminis. Uses toolSerpApi, googleGemini, chatTrigger, agent. Event-driven trigger; 22 nodes.
Source: https://github.com/romellfudi/medium/blob/b295bac6dcf1c1de90c007ba980644c8db5bec82/n8n/Geminis.json — original creator credit. Request a take-down →
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