mirror of
https://github.com/kossakovsky/n8n-install.git
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2791 lines
82 KiB
JSON
2791 lines
82 KiB
JSON
{
|
||
"name": "n8n-4-3: Deep Research",
|
||
"nodes": [
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||
{
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||
"parameters": {
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"assignments": {
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||
"assignments": [
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{
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"id": "df28b12e-7c20-4ff5-b5b8-dc773aa14d4b",
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||
"name": "request_id",
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||
"type": "string",
|
||
"value": "={{ $execution.id }}"
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||
},
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||
{
|
||
"id": "9362c1e7-717d-444a-8ea2-6b5f958c9f3f",
|
||
"name": "prompt",
|
||
"type": "string",
|
||
"value": "={{ $json['Что вы хотите исследовать?'] }}"
|
||
},
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||
{
|
||
"id": "09094be4-7844-4a9e-af82-cc8e39322398",
|
||
"name": "depth",
|
||
"type": "number",
|
||
"value": "={{ $json['Enter research depth (recommended 1-5, default 2)'] || 2 }}"
|
||
},
|
||
{
|
||
"id": "3fc30a30-7806-4013-835d-97e27ddd7ae1",
|
||
"name": "breadth",
|
||
"type": "number",
|
||
"value": "={{ $json['Enter research breadth (recommended 2-10, default 4)'] || 4 }}"
|
||
}
|
||
]
|
||
},
|
||
"options": {}
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||
},
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||
"id": "295150c5-de6f-4f6d-a031-2e0571e5ba75",
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"name": "Set Variables",
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"type": "n8n-nodes-base.set",
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{
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"parameters": {
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"model": {
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||
"__rl": true,
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||
"mode": "id",
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||
"value": "o3-mini"
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||
},
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||
"options": {}
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||
},
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||
"id": "707164bc-aba7-4270-a0ce-a81fde9aa363",
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"name": "OpenAI Chat Model1",
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||
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
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"position": [
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"typeVersion": 1.2,
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"credentials": {
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"openAiApi": {
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"id": "qKk5wVYPDLRt63R9",
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"name": "OpenAi account"
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||
}
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||
}
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||
},
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||
{
|
||
"parameters": {
|
||
"model": {
|
||
"__rl": true,
|
||
"value": "gpt-4.1",
|
||
"mode": "list",
|
||
"cachedResultName": "gpt-4.1"
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||
},
|
||
"options": {}
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||
},
|
||
"id": "3b96e51f-ee85-459b-b680-276aed0b3a6e",
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||
"name": "OpenAI Chat Model2",
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||
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
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"position": [
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1228,
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1010
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],
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||
"typeVersion": 1.2,
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"credentials": {
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||
"openAiApi": {
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||
"id": "qKk5wVYPDLRt63R9",
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||
"name": "OpenAi account"
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||
}
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||
}
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||
},
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||
{
|
||
"parameters": {
|
||
"schemaType": "manual",
|
||
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"questions\": {\n \"type\": \"array\",\n \"description\": \"Follow up questions to clarify the research direction, max of 3.\",\n \"items\": {\n \"type\": \"string\"\n }\n }\n }\n}"
|
||
},
|
||
"id": "c79f8a46-03cd-4cbb-bb23-cebfb714e3b7",
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||
"name": "Structured Output Parser1",
|
||
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
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||
"position": [
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||
1348,
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||
1010
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],
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||
"typeVersion": 1.2
|
||
},
|
||
{
|
||
"parameters": {
|
||
"formTitle": " DeepResearcher",
|
||
"formDescription": "=DeepResearcher — использует многоэтапный рекурсивный подход для решения сложных исследовательских задач, выполняя за десятки минут то, на что человеку потребовалось бы много часов.\n\nЧтобы использовать этот инструмент, укажите краткое описание предмета исследования и желаемую «глубину» анализа. Учтите, чем выше число, тем больше времени и затрат потребуется на исследование.\n\nРабочий процесс выполняется полностью автономно, а по завершении отчёт сохраняется в указанной базе данных Notion.",
|
||
"formFields": {
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||
"values": [
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{
|
||
"fieldType": "html"
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||
}
|
||
]
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||
},
|
||
"options": {
|
||
"buttonLabel": "Начать",
|
||
"path": "deep_research",
|
||
"ignoreBots": true
|
||
}
|
||
},
|
||
"id": "3035bd09-e3a5-491d-925a-91bfc77c17b8",
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||
"name": "On form submission",
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||
"type": "n8n-nodes-base.formTrigger",
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||
"position": [
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||
540,
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790
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],
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||
"webhookId": "7ddfaa7c-a523-4d92-b033-d76cd5a313e9",
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"typeVersion": 2.2
|
||
},
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||
{
|
||
"parameters": {
|
||
"promptType": "define",
|
||
"text": "=Given the following prompt from the user, generate a list of SERP queries to research the topic. Return a maximum of {{ $('JobType Router').first().json.data.breadth }} queries, but feel free to return less if the original prompt is clear. Make sure each query is unique and not similar to each other: <prompt>{{ $('JobType Router').first().json.data.query.trim() }}</prompt>\n\n{{\n$('JobType Router').first().json.data.learnings.length\n ? `Here are some learnings from previous research, use them to generate more specific queries: ${$('JobType Router').first().json.data.learnings.join('\\n')}`\n : ''\n}}",
|
||
"hasOutputParser": true,
|
||
"messages": {
|
||
"messageValues": [
|
||
{
|
||
"type": "HumanMessagePromptTemplate",
|
||
"message": "=You are an expert researcher. Today is {{ $now.toLocaleString() }}. Follow these instructions when responding:\n - You may be asked to research subjects that is after your knowledge cutoff, assume the user is right when presented with news.\n - The user is a highly experienced analyst, no need to simplify it, be as detailed as possible and make sure your response is correct.\n - Be highly organized.\n - Suggest solutions that I didn't think about.\n - Be proactive and anticipate my needs.\n - Treat me as an expert in all subject matter.\n - Mistakes erode my trust, so be accurate and thorough.\n - Provide detailed explanations, I'm comfortable with lots of detail.\n - Value good arguments over authorities, the source is irrelevant.\n - Consider new technologies and contrarian ideas, not just the conventional wisdom.\n - You may use high levels of speculation or prediction, just flag it for me."
|
||
}
|
||
]
|
||
}
|
||
},
|
||
"id": "98582eb6-45d6-411d-ac15-1fbadacd002b",
|
||
"name": "Generate SERP Queries",
|
||
"type": "@n8n/n8n-nodes-langchain.chainLlm",
|
||
"position": [
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1200,
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2000
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],
|
||
"typeVersion": 1.5
|
||
},
|
||
{
|
||
"parameters": {
|
||
"schemaType": "manual",
|
||
"inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"queries\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"query\": {\n \"type\": \"string\",\n \"description\": \"The SERP query\"\n },\n \"researchGoal\": {\n \"type\": \"string\",\n \"description\": \"First talk about the goal of the research that this query is meant to accomplish, then go deeper into how to advance the research once the results are found, mention additional research directions. Be as specific as possible, especially for additional research directions.\"\n }\n }\n }\n }\n }\n}"
|
||
},
|
||
"id": "66fc5230-3624-43ec-9bbb-ddb20dab18fa",
|
||
"name": "Structured Output Parser2",
|
||
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
|
||
"position": [
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||
1348,
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2220
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],
|
||
"typeVersion": 1.2
|
||
},
|
||
{
|
||
"parameters": {
|
||
"model": {
|
||
"__rl": true,
|
||
"mode": "id",
|
||
"value": "o3-mini"
|
||
},
|
||
"options": {}
|
||
},
|
||
"id": "74351056-35e5-4598-bf9a-647ad8785ef9",
|
||
"name": "OpenAI Chat Model3",
|
||
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
|
||
"position": [
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||
1228,
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||
2220
|
||
],
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||
"typeVersion": 1.2,
|
||
"credentials": {
|
||
"openAiApi": {
|
||
"id": "qKk5wVYPDLRt63R9",
|
||
"name": "OpenAi account"
|
||
}
|
||
}
|
||
},
|
||
{
|
||
"parameters": {
|
||
"assignments": {
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||
"assignments": [
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||
{
|
||
"id": "acb41e93-70c6-41a3-be0f-e5a74ec3ec88",
|
||
"name": "query",
|
||
"type": "string",
|
||
"value": "={{ $('JobType Router').first().json.data.query }}"
|
||
},
|
||
{
|
||
"id": "7fc54063-b610-42bc-a250-b1e8847c4d1e",
|
||
"name": "learnings",
|
||
"type": "array",
|
||
"value": "={{ $('JobType Router').first().json.data.learnings }}"
|
||
},
|
||
{
|
||
"id": "e8f1c158-56fb-41c8-8d86-96add16289bb",
|
||
"name": "breadth",
|
||
"type": "number",
|
||
"value": "={{ $('JobType Router').first().json.data.breadth }}"
|
||
}
|
||
]
|
||
},
|
||
"options": {}
|
||
},
|
||
"id": "155f5a52-05f9-4da4-9a42-9571d357d423",
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||
"name": "Set Initial Query",
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||
"type": "n8n-nodes-base.set",
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"position": [
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1952,
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1275
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],
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"typeVersion": 3.4
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},
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{
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"parameters": {
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"assignments": {
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"assignments": [
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{
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||
"id": "db509e90-9a86-431f-8149-4094d22666cc",
|
||
"name": "should_stop",
|
||
"type": "boolean",
|
||
"value": "={{\n$runIndex >= ($('JobType Router').first().json.data.depth)\n}}"
|
||
},
|
||
{
|
||
"id": "90986e2b-8aca-4a22-a9db-ed8809d6284d",
|
||
"name": "all_learnings",
|
||
"type": "array",
|
||
"value": "={{\nArray($runIndex+1)\n .fill(0)\n .flatMap((_,idx) => {\n try {\n return $('Generate Learnings')\n .all(0,idx)\n .flatMap(item => item.json.data.flatMap(d => d.learnings))\n } catch (e) {\n return []\n }\n })\n}}"
|
||
},
|
||
{
|
||
"id": "3eade958-e8ab-4975-aac4-f4a4a983c163",
|
||
"name": "all_urls",
|
||
"type": "array",
|
||
"value": "={{\nArray($runIndex+1)\n .fill(0)\n .flatMap((_,idx) => {\n try {\n return $('Generate Learnings')\n .all(0,idx)\n .flatMap(item => item.json.data.flatMap(d => d.urls))\n } catch (e) {\n return []\n }\n })\n}}"
|
||
}
|
||
]
|
||
},
|
||
"options": {}
|
||
},
|
||
"id": "65b15185-8494-42f7-9db0-c2a6219f6bd6",
|
||
"name": "Accumulate Results",
|
||
"type": "n8n-nodes-base.set",
|
||
"position": [
|
||
2392,
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||
1200
|
||
],
|
||
"executeOnce": true,
|
||
"typeVersion": 3.4
|
||
},
|
||
{
|
||
"parameters": {
|
||
"mode": "raw",
|
||
"jsonOutput": "={{ $('Generate Learnings').item.json }}",
|
||
"options": {}
|
||
},
|
||
"id": "3cd1b5a2-bc9a-481e-b3e3-ae3b9ad62719",
|
||
"name": "DeepResearch Results",
|
||
"type": "n8n-nodes-base.set",
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||
"position": [
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2988,
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1350
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||
],
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||
"typeVersion": 3.4
|
||
},
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||
{
|
||
"parameters": {
|
||
"fieldToSplitOut": "data",
|
||
"options": {}
|
||
},
|
||
"id": "6b0b6ac3-d104-4737-9c08-a5dac9e822c3",
|
||
"name": "Results to Items",
|
||
"type": "n8n-nodes-base.splitOut",
|
||
"position": [
|
||
3208,
|
||
1350
|
||
],
|
||
"typeVersion": 1
|
||
},
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||
{
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||
"parameters": {
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||
"assignments": {
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||
"assignments": [
|
||
{
|
||
"id": "d88bfe95-9e73-4d25-b45c-9f164b940b0e",
|
||
"name": "query",
|
||
"type": "string",
|
||
"value": "=Previous research goal: {{ $json.researchGoal }}\nFollow-up research directions: {{ $json.followUpQuestions.map(q => `\\n${q}`).join('') }}"
|
||
},
|
||
{
|
||
"id": "4aa20690-d998-458a-b1e4-0d72e6a68e6b",
|
||
"name": "learnings",
|
||
"type": "array",
|
||
"value": "={{ $('Accumulate Results').item.json.all_learnings }}"
|
||
},
|
||
{
|
||
"id": "89acafae-b04a-4d5d-b08b-656e715654e4",
|
||
"name": "breadth",
|
||
"type": "number",
|
||
"value": "={{ $('JobType Router').first().json.data.breadth }}"
|
||
}
|
||
]
|
||
},
|
||
"options": {}
|
||
},
|
||
"id": "6f07d39a-68ca-4437-8e95-405cd3738363",
|
||
"name": "Set Next Queries",
|
||
"type": "n8n-nodes-base.set",
|
||
"position": [
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3428,
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1375
|
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],
|
||
"typeVersion": 3.4
|
||
},
|
||
{
|
||
"parameters": {
|
||
"fieldToSplitOut": "output.questions",
|
||
"options": {}
|
||
},
|
||
"id": "da3287c5-0d27-4197-854d-d974204bee44",
|
||
"name": "Feedback to Items",
|
||
"type": "n8n-nodes-base.splitOut",
|
||
"position": [
|
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1576,
|
||
790
|
||
],
|
||
"typeVersion": 1
|
||
},
|
||
{
|
||
"parameters": {
|
||
"formFields": {
|
||
"values": [
|
||
{
|
||
"fieldLabel": "={{ $json[\"output.questions\"] }}",
|
||
"fieldType": "textarea",
|
||
"placeholder": "=",
|
||
"requiredField": true
|
||
}
|
||
]
|
||
},
|
||
"options": {
|
||
"formTitle": "DeepResearcher",
|
||
"formDescription": "=<img src=\"https://res.cloudinary.com/daglih2g8/image/upload/f_auto,q_auto/v1/n8n-workflows/o4wqztloz3j6okfxpeyw\" width=\"100%\" style=\"border:1px solid #ccc\" />\n\n<p style=\"text-align:left\"> Ответьте на следующие уточняющие вопросы, чтобы помочь DeepResearcher лучше ориентироваться в выбранной теме исследования. </p> <hr style=\"display:block;margin-top:16px;margin-bottom:0\" /> <p style=\"text-align:left;font-family:sans-serif;font-weight:700;\"> Всего вопросов: {{ $('Feedback to Items').all().length }}. </p>",
|
||
"buttonLabel": "Ответить"
|
||
}
|
||
},
|
||
"id": "2c3bd6b1-57ab-4068-8614-886a7d7ad22e",
|
||
"name": "Ask Clarity Questions",
|
||
"type": "n8n-nodes-base.form",
|
||
"position": [
|
||
2016,
|
||
840
|
||
],
|
||
"webhookId": "ab0d9b81-73f6-4baa-a3cd-ac3b31397708",
|
||
"typeVersion": 1
|
||
},
|
||
{
|
||
"parameters": {
|
||
"options": {}
|
||
},
|
||
"id": "5df4138f-9080-4f93-b169-1e9dcf52d291",
|
||
"name": "For Each Question...",
|
||
"type": "n8n-nodes-base.splitInBatches",
|
||
"position": [
|
||
1796,
|
||
790
|
||
],
|
||
"typeVersion": 3
|
||
},
|
||
{
|
||
"parameters": {
|
||
"workflowInputs": {
|
||
"values": [
|
||
{
|
||
"name": "requestId",
|
||
"type": "any"
|
||
},
|
||
{
|
||
"name": "jobType"
|
||
},
|
||
{
|
||
"name": "data",
|
||
"type": "object"
|
||
}
|
||
]
|
||
}
|
||
},
|
||
"id": "15c3254f-b399-40e6-9bb9-5f433a12ae56",
|
||
"name": "DeepResearch Subworkflow",
|
||
"type": "n8n-nodes-base.executeWorkflowTrigger",
|
||
"position": [
|
||
540,
|
||
2000
|
||
],
|
||
"typeVersion": 1.1
|
||
},
|
||
{
|
||
"parameters": {
|
||
"promptType": "define",
|
||
"text": "=На основе следующего запроса пользователя задайте дополнительные вопросы, уточняющие направление исследования. Сформулируйте не более 3 вопросов, однако можете задать меньше, если исходный запрос ясен: <query>{{ $json.prompt }}</query>",
|
||
"hasOutputParser": true,
|
||
"messages": {
|
||
"messageValues": [
|
||
{
|
||
"type": "HumanMessagePromptTemplate",
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"id": "2bc1fbe4-bee9-4376-9ca9-c5ff1dc24059",
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"name": "Notion Block Generator",
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"id": "e60e92aa-a4ca-488c-99e9-e9de21a67f60",
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"name": "Google Gemini Chat Model",
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"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
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"position": [
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2700,
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"credentials": {
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"googlePalmApi": {
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"value": "={{\n(function(){\n const block = $json.text\n .replace('```json', '')\n .replace('```', '')\n .trim()\n .parseJson();\n if (Array.isArray(block)) return block;\n if (block.type.startsWith('heading_')) {\n const prev = Number(block.type.split('_')[1]);\n const next = Math.max(1, prev - 1);\n if (next !== prev) {\n block.type = `heading_${next}`;\n block[`heading_${next}`] = Object.assign({}, block[`heading_${prev}`]);\n block[`heading_${prev}`] = undefined;\n }\n }\n return [block];\n})()\n}}"
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"url": "=https://api.notion.com/v1/blocks/{{ $('Get Existing Row1').first().json.id }}/children",
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"maxTries": 2,
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"id": "d9Kgw4AHYg6bY8ps",
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"name": "Notion Writer Account"
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"onError": "continueRegularOutput"
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{
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"resource": "databasePage",
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"filters": {
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"conditions": [
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{
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"key": "Request ID|rich_text",
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"condition": "equals",
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"richTextValue": "={{ $json.requestId.toString() }}"
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}
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]
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},
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"workflowId": {
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"__rl": true,
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"mode": "id",
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"value": "={{ $workflow.id }}"
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"workflowInputs": {
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"value": {
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"schema": [
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{
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|
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|
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|
||
"requiredField": true
|
||
},
|
||
{
|
||
"fieldType": "html",
|
||
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|
||
},
|
||
{
|
||
"fieldType": "html",
|
||
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|
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{
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"fieldLabel": "={{ \"\" }}",
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|
||
}
|
||
]
|
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}
|
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},
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