This workflow follows the Agent → Chainllm 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 →
{
"createdAt": "2025-03-13T03:03:22.129Z",
"updatedAt": "2025-03-13T03:39:19.194Z",
"id": "XURt1tBvyNsU2uun",
"name": "HeyDinastia",
"active": false,
"nodes": [
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "0f3fdb8e-111e-49b3-af88-b5d311d88048",
"name": "credencial",
"value": "={{ $json.stdout.split('\\n')[1] }}",
"type": "array"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
1420,
820
],
"id": "6bbbd41d-e621-4a86-82a9-72e920264ac9",
"name": "credencial"
},
{
"parameters": {
"command": "n8n export:credentials --decrypted --id=nhD68JLC27VAbgZt"
},
"id": "58cb3e35-d09a-47b9-b158-aecaff197156",
"name": "exportar_chave",
"type": "n8n-nodes-base.executeCommand",
"position": [
1260,
820
],
"typeVersion": 1
},
{
"parameters": {
"operation": "text",
"options": {}
},
"type": "n8n-nodes-base.extractFromFile",
"typeVersion": 1,
"position": [
3320,
820
],
"id": "acb423c2-c59e-433e-82a1-43455824c04f",
"name": "Extract from File"
},
{
"parameters": {
"url": "=https://www.googleapis.com/youtube/v3/captions?videoId={{ $json.id }}&part=snippet",
"sendQuery": true,
"queryParameters": {
"parameters": [
{
"name": "key"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
2640,
840
],
"id": "8eebf55e-98ef-4c4b-8514-6463aad842f4",
"name": "buscar_captions"
},
{
"parameters": {
"url": "=https://www.googleapis.com/youtube/v3/captions/{{ $json.items[0].id }}?tfmt=srt",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "=Bearer {{ $('credencial').item.json.credencial[0].data.oauthTokenData.access_token }}"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
3120,
820
],
"id": "88ee1fd3-b0d5-41ad-a726-75f23cb1fe9a",
"name": "download_subtitle"
},
{
"parameters": {
"resource": "video",
"operation": "get",
"videoId": "={{ $json.id.videoId }}",
"options": {}
},
"type": "n8n-nodes-base.youTube",
"typeVersion": 1,
"position": [
2180,
840
],
"id": "f203ff13-3b8d-4b23-bd4d-75e5ec964280",
"name": "buscar_video"
},
{
"parameters": {
"operation": "executeQuery",
"query": "-- Enable the pgvector extension to work with embedding vectors\ncreate extension vector;\n\n-- Create a table to store your documents\ncreate table documents (\n id bigserial primary key,\n content text, -- corresponds to Document.pageContent\n metadata jsonb, -- corresponds to Document.metadata\n embedding vector(1536) -- 1536 works for OpenAI embeddings, change if needed\n);\n\n-- Create a function to search for documents\ncreate function match_documents (\n query_embedding vector(1536),\n match_count int default null,\n filter jsonb DEFAULT '{}'\n) returns table (\n id bigint,\n content text,\n metadata jsonb,\n similarity float\n)\nlanguage plpgsql\nas $\n#variable_conflict use_column\nbegin\n return query\n select\n id,\n content,\n metadata,\n 1 - (documents.embedding <=> query_embedding) as similarity\n from documents\n where metadata @> filter\n order by documents.embedding <=> query_embedding\n limit match_count;\nend;\n$;\n",
"options": {}
},
"id": "eec06f4a-2ec3-460e-9618-818c5cf69cce",
"name": "setar_supabase_tabelas_vectoriais",
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.5,
"position": [
900,
540
],
"disabled": true
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.splitInBatches",
"typeVersion": 3,
"position": [
1980,
820
],
"id": "a4834b57-0d2c-4810-801e-9949898e7e9b",
"name": "Loop Over Items"
},
{
"parameters": {},
"type": "n8n-nodes-base.noOp",
"typeVersion": 1,
"position": [
2180,
640
],
"id": "d889e69e-f88a-4b38-bcd9-44684537fb35",
"name": "finished"
},
{
"parameters": {
"operation": "upsert",
"schema": {
"__rl": true,
"mode": "list",
"value": "public"
},
"table": {
"__rl": true,
"value": "videos",
"mode": "list",
"cachedResultName": "videos"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"yt_id": "={{ $('buscar_video').item.json.id }}",
"title": "={{ $('buscar_video').item.json.snippet.title }}",
"thumbnail": "={{ $('buscar_video').item.json.snippet.thumbnails.high.url }}",
"captions": "={{ $('Extract from File').item.json.data }}",
"url": "=https://www.youtube.com/watch?v={{ $('buscar_video').item.json.id }}",
"published_at": "={{ $('buscar_video').item.json.snippet.publishedAt }}",
"faq_captions": "={ \"faq\": [] }"
},
"matchingColumns": [
"yt_id"
],
"schema": [
{
"id": "yt_id",
"displayName": "yt_id",
"required": true,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "title",
"displayName": "title",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": false
},
{
"id": "thumbnail",
"displayName": "thumbnail",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": false
},
{
"id": "captions",
"displayName": "captions",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": false
},
{
"id": "faq_captions",
"displayName": "faq_captions",
"required": false,
"defaultMatch": false,
"display": true,
"type": "object",
"canBeUsedToMatch": false,
"removed": false
},
{
"id": "url",
"displayName": "url",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": false
},
{
"id": "published_at",
"displayName": "published_at",
"required": false,
"defaultMatch": false,
"display": true,
"type": "dateTime",
"canBeUsedToMatch": false
},
{
"id": "created_at",
"displayName": "created_at",
"required": false,
"defaultMatch": false,
"display": true,
"type": "dateTime",
"canBeUsedToMatch": false,
"removed": true
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.5,
"position": [
3500,
820
],
"id": "0760e6d0-b7a3-4156-863f-b5081cd7238e",
"name": "inserir_video_bd",
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "f9b03b4e-b89b-44c1-82ad-9316fe24e187",
"leftValue": "={{ $json.status.privacyStatus }}",
"rightValue": "public",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
2380,
840
],
"id": "8be479b8-4787-4ce9-be77-11b386cb5df8",
"name": "public_only"
},
{
"parameters": {
"promptType": "define",
"text": "={{ $('Webhook2').item.json.body?.data?.message?.conversation || $('Webhook2').item.json.body?.data?.message?.ephemeralMessage?.message?.extendedTextMessage?.contextInfo?.quotedMessage?.ephemeralMessage?.message?.extendedTextMessage?.text || $('Webhook2').item.json.body?.data?.message?.ephemeralMessage?.message?.extendedTextMessage?.text }}",
"options": {
"systemMessage": "=# Quem voc\u00ea \u00e9:\nVoc\u00ea \u00e9 o assistente de IA da DinastIA uma comunidade focada em desenvolvimento de Agentes de IA.\n\n# Sua fun\u00e7\u00e3o:\nSua fun\u00e7\u00e3o \u00e9 usar a tool RAG para localizar respostas nos v\u00eddeos da DinastIA e responder os clientes com a resposta + o link do youtube agregando o &t=<tempo> no final da URL aonde <tempo> \u00e9 o valor da chave \"tempo\" que vier no json. \n\n# Onde encontrar a URL do v\u00eddeo:\nA URL estar\u00e1 na chave \"metadata\" em video_url.\n\n# Chamar a tool \"buscar_srt\" sempre que poss\u00edvel:\nQuando encontrar o v\u00eddeo pela TOOL RAG. Sempre utilize tool buscar_srt com o video_id para buscar o SRT do video e responder o usu\u00e1rio com precisao e tambem para indicar a URL e o tempo corretamente.\n\n# Referenciar os videos\nUse a lista abaixo para referencia de todos os videos disponiveis e video_id caso o usuario fa\u00e7a uma pergunta sobre um v\u00eddeo espec\u00edfico.\n\n# Formato de link:\nQuando colocar o link de videos, n\u00e3o use nenhum formato em volta do link, apenas coloque o link no texto. N\u00e3o use [] ou () entre um link.\n\n# Use a tool \"buscar_srt\"\nUse a tool \"buscar_srt\" para buscar o texto inteiro de um v\u00eddeo caso ainda haja d\u00favidas nas informa\u00e7\u00f5es fornecidas pela tool \"RAG\". APenas utilize uma \u00fanica vez.\n\n# Guidelines\nColoque at\u00e9 no m\u00e1ximo 2 links que seja sobre o que o user est\u00e1 perguntando.\nResponde de forma simples, objetiva e curtas com no m\u00e1ximo 300 caracteres.\n\n<videos>\n{{ $json.videos.map(video => `\n<video>\n <title>${video.title}</title>\n <video_id>${video.yt_id}</video_id>\n</video>\n`) }}\n</videos>\n\nResponda com formatac\u00e3o para o WhatsApp."
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 1.7,
"position": [
3820,
1860
],
"id": "0a03cdcd-c5ca-4f2b-9b77-2304d8d0ef91",
"name": "AI Agent",
"alwaysOutputData": true,
"retryOnFail": true,
"maxTries": 2,
"onError": "continueRegularOutput"
},
{
"parameters": {
"model": "text-embedding-3-large",
"options": {
"dimensions": 1536
}
},
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1.2,
"position": [
4060,
2220
],
"id": "ec26ed7c-6d66-4e9c-9a08-a2861dd07bb5",
"name": "Embeddings OpenAI3"
},
{
"parameters": {
"mode": "retrieve-as-tool",
"toolName": "documents",
"toolDescription": "=Fa\u00e7a uma busca pelo tema que foi lhe perguntado e trar\u00e1 o link correspondente que est\u00e1 no metadada",
"tableName": {
"__rl": true,
"value": "documents",
"mode": "list",
"cachedResultName": "documents"
},
"topK": 25,
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"typeVersion": 1,
"position": [
4060,
2080
],
"id": "9a854b5c-0ead-4041-9882-edae425eff53",
"name": "RAG"
},
{
"parameters": {
"descriptionType": "manual",
"toolDescription": "Usar para puxar os dados de SRT completo do video via video_id da tool RAG",
"operation": "select",
"schema": {
"__rl": true,
"mode": "list",
"value": "public"
},
"table": {
"__rl": true,
"value": "videos",
"mode": "list",
"cachedResultName": "videos"
},
"limit": 1,
"where": {
"values": [
{
"column": "yt_id",
"value": "={{ $fromAI('video_id', 'o ID do video que veio do RAG') }}"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.postgresTool",
"typeVersion": 2.5,
"position": [
4380,
2040
],
"id": "2fcd821a-e386-4d83-bee6-d61c5d0789c6",
"name": "buscar_srt"
},
{
"parameters": {
"aggregate": "aggregateAllItemData",
"destinationFieldName": "videos",
"options": {}
},
"type": "n8n-nodes-base.aggregate",
"typeVersion": 1,
"position": [
3620,
1860
],
"id": "efefb585-a704-451a-a8d5-d6138b094cdb",
"name": "videos"
},
{
"parameters": {
"resource": "video",
"returnAll": true,
"filters": {},
"options": {}
},
"type": "n8n-nodes-base.youTube",
"typeVersion": 1,
"position": [
1580,
820
],
"id": "cec3f464-13a5-43b7-95d2-1b825beb16ae",
"name": "buscar_todos_os_videos_backup"
},
{
"parameters": {
"content": "## Tratamento para o RAG",
"height": 1138.819188191882,
"width": 2220
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
420,
1600
],
"id": "9ff3cff7-05d9-4236-b34f-f3bd715321b2",
"name": "Sticky Note1"
},
{
"parameters": {
"jsCode": "function parseSRT(srtText) {\n const regex = /(\\d+)\\s+(\\d{2}):(\\d{2}):(\\d{2}),(\\d{3}) --> (\\d{2}):(\\d{2}):(\\d{2}),(\\d{3})\\s+([\\s\\S]*?)(?=\\s+\\d+\\s+\\d{2}:\\d{2}:\\d{2},\\d{3}|\\s*$)/g;\n let groupedByMinute = {};\n\n let match;\n while ((match = regex.exec(srtText)) !== null) {\n let index = match[1]; // Subtitle index\n let startHour = parseInt(match[2], 10);\n let startMinute = parseInt(match[3], 10);\n let startSecond = parseInt(match[4], 10);\n let startMs = parseInt(match[5], 10);\n let endTime = `${match[6]}:${match[7]}:${match[8]},${match[9]}`;\n let text = match[10].replace(/\\s+/g, ' ').trim(); // Normalize text spacing\n\n let totalMinutes = startHour * 60 + startMinute; // Convert HH:MM to integer minute\n\n if (!groupedByMinute[totalMinutes]) {\n groupedByMinute[totalMinutes] = [];\n }\n\n groupedByMinute[totalMinutes].push({\n time: `${match[2]}:${match[3]}:${match[4]},${match[5]} --> ${endTime}`,\n text: text\n });\n }\n\n return groupedByMinute;\n}\n\nconst srtContent = $('video').all()[0].json.captions;\nconst parsedSrt = parseSRT(srtContent);\n\nreturn { parsedSrt };"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1200,
1800
],
"id": "9683c581-fb48-462e-aad1-fac2960e3bb6",
"name": "parsedSrt"
},
{
"parameters": {
"operation": "select",
"schema": {
"__rl": true,
"mode": "list",
"value": "public"
},
"table": {
"__rl": true,
"value": "videos",
"mode": "list",
"cachedResultName": "videos"
},
"limit": 1,
"where": {
"values": [
{
"column": "yt_id",
"value": "={{ $('video').item.json.yt_id }}"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.5,
"position": [
2060,
1880
],
"id": "a2e43c9b-ad69-41fc-90a9-5d4f4b2bbc89",
"name": "get_video",
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"fieldToSplitOut": "parsedSrt",
"include": "allOtherFields",
"options": {}
},
"type": "n8n-nodes-base.splitOut",
"typeVersion": 1,
"position": [
1360,
1800
],
"id": "766822dc-c6d8-4a4a-b7ff-95603f044f9b",
"name": "minutos"
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.splitInBatches",
"typeVersion": 3,
"position": [
1540,
1800
],
"id": "0871cbb4-6435-4596-8a47-49621dfe3ea3",
"name": "minuto",
"executeOnce": false
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-4o",
"mode": "list",
"cachedResultName": "gpt-4o"
},
"options": {
"temperature": 0
}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
1660,
2220
],
"id": "0ab5d6d1-4ff7-4aa6-87d3-05a93f6a974f",
"name": "OpenAI Chat Model3",
"credentials": {}
},
{
"parameters": {
"jsCode": "const faq = $('get_video').first().json.faq_captions.faq;\n\nconst perguntas = JSON.parse($('perguntas').first().json.text);\n\nconst perguntasComTitulo = perguntas.map(item => ({ ...item, pergunta: `No v\u00eddeo ${$input.first().json.title}. ${item.pergunta}` }))\n\nreturn [{ faq: [...faq, ...perguntasComTitulo] }];"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
2220,
1880
],
"id": "5c2a0393-9749-4a3f-81fb-a56c7b855c06",
"name": "merge_perguntas"
},
{
"parameters": {
"operation": "update",
"schema": {
"__rl": true,
"mode": "list",
"value": "public"
},
"table": {
"__rl": true,
"value": "videos",
"mode": "list",
"cachedResultName": "videos"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"yt_id": "={{ $('get_video').item.json.yt_id }}",
"faq_captions": "={{ $('merge_perguntas').item.json }}"
},
"matchingColumns": [
"yt_id"
],
"schema": [
{
"id": "yt_id",
"displayName": "yt_id",
"required": true,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": false
},
{
"id": "title",
"displayName": "title",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": true
},
{
"id": "thumbnail",
"displayName": "thumbnail",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": true
},
{
"id": "captions",
"displayName": "captions",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": true
},
{
"id": "faq_captions",
"displayName": "faq_captions",
"required": false,
"defaultMatch": false,
"display": true,
"type": "object",
"canBeUsedToMatch": true
},
{
"id": "url",
"displayName": "url",
"required": false,
"defaultMatch": false,
"display": true,
"type": "string",
"canBeUsedToMatch": true,
"removed": true
},
{
"id": "published_at",
"displayName": "published_at",
"required": false,
"defaultMatch": false,
"display": true,
"type": "dateTime",
"canBeUsedToMatch": true,
"removed": true
},
{
"id": "created_at",
"displayName": "created_at",
"required": false,
"defaultMatch": false,
"display": true,
"type": "dateTime",
"canBeUsedToMatch": true,
"removed": true
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {}
},
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.5,
"position": [
2380,
1880
],
"id": "24248bed-05e3-46b6-9381-43da456dd36d",
"name": "update_faq",
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "select",
"schema": {
"__rl": true,
"mode": "list",
"value": "public"
},
"table": {
"__rl": true,
"value": "videos",
"mode": "list",
"cachedResultName": "videos"
},
"limit": 1,
"where": {
"values": [
{
"column": "yt_id",
"value": "={{ $json.body.yt_id }}"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.5,
"position": [
700,
1800
],
"id": "38a069f6-5b5b-4003-93a0-8fc0943a291e",
"name": "video",
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsonMode": "expressionData",
"jsonData": "={{ $json.faq_captions.faq.map(faq => `${faq.pergunta} tempo: ${faq.tempo}`) }}",
"options": {
"metadata": {
"metadataValues": [
{
"name": "metadata",
"value": "={ \"video_url\": \"{{ $json.url }}\", \"video_id\": \"{{ $json.yt_id }}\" }"
}
]
}
}
},
"id": "4f49264a-46e4-4ece-9bdc-17da16e90b72",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"typeVersion": 1,
"position": [
980,
3380
]
},
{
"parameters": {
"chunkSize": 1500,
"chunkOverlap": 100,
"options": {}
},
"id": "4205f2be-be51-4458-a375-244471f16bfe",
"name": "Recursive Character Text Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"typeVersion": 1,
"position": [
1040,
3520
]
},
{
"parameters": {
"model": "text-embedding-3-large",
"options": {
"dimensions": 1536
}
},
"id": "5939cb92-0ba6-456b-8b39-821656c49faa",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1,
"position": [
820,
3420
]
},
{
"parameters": {
"mode": "insert",
"tableName": {
"__rl": true,
"value": "documents",
"mode": "list",
"cachedResultName": "documents"
},
"options": {
"queryName": "match_documents"
}
},
"id": "268979dd-6b19-4601-a520-457032dd2e51",
"name": "Vector Storage1",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"typeVersion": 1,
"position": [
900,
3220
]
},
{
"parameters": {
"operation": "select",
"schema": {
"__rl": true,
"mode": "list",
"value": "public"
},
"table": {
"__rl": true,
"value": "videos",
"mode": "list",
"cachedResultName": "videos"
},
"limit": 1,
"where": {
"values": [
{
"column": "yt_id",
"value": "={{ $json.body.yt_id }}"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.5,
"position": [
700,
3220
],
"id": "4efdf83e-1b64-4d03-8286-c1730b10c560",
"name": "video1"
},
{
"parameters": {
"httpMethod": "POST",
"path": "bf857838-207e-4f4b-8f4c-d3a329fe6b18",
"responseMode": "responseNode",
"options": {}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
520,
3220
],
"id": "2fed7b42-6e51-4f7c-b2bb-242d9cbaa919",
"name": "Webhook"
},
{
"parameters": {
"respondWith": "json",
"responseBody": "{\n \"success\": true\n}",
"options": {}
},
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.1,
"position": [
1260,
3220
],
"id": "80326746-08c5-40b4-90cd-5a16aff943b7",
"name": "Respond to Webhook"
},
{
"parameters": {
"method": "POST",
"url": "https://n8n.dinastia.uk/webhook/bf857838-207e-4f4b-8f4c-d3a329fe6b18",
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "yt_id",
"value": "={{ $json.yt_id }}"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1200,
2940
],
"id": "077f20a7-5e5a-46ef-9a55-626fc8cda60a",
"name": "HTTP Request"
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.splitInBatches",
"typeVersion": 3,
"position": [
960,
2920
],
"id": "60210250-d020-4f82-93c5-8b06e032b356",
"name": "video2"
},
{
"parameters": {},
"type": "n8n-nodes-base.noOp",
"typeVersion": 1,
"position": [
1200,
2800
],
"id": "f3ec5416-b013-49ba-ae77-f67933f0bd3e",
"name": "finished2"
},
{
"parameters": {
"operation": "executeQuery",
"query": "-- SELECT v.yt_id\n-- FROM videos v\n-- LEFT JOIN documents d \n-- ON d.metadata->>'metadata' LIKE '%' || v.yt_id || '%'\n-- WHERE d.metadata IS NULL;\n\nSELECT v.yt_id\nFROM videos v",
"options": {}
},
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.5,
"position": [
740,
2920
],
"id": "ffeb00a2-cbad-4ade-bfa4-1fc00c46f0bf",
"name": "Postgres"
},
{
"parameters": {
"operation": "executeQuery",
"query": "SELECT yt_id FROM videos;",
"options": {}
},
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.5,
"position": [
860,
820
],
"id": "6715e415-5849-43a1-9ce5-1f0c82bf6fb1",
"name": "videos1",
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "9c4c6a77-80cd-46c1-94c0-4225c3ae499e",
"leftValue": "={{ $('videos2').item.json.videos.map(item => item.yt_id) }}",
"rightValue": "={{ $json.id.videoId }}",
"operator": {
"type": "array",
"operation": "notContains",
"rightType": "any"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.filter",
"typeVersion": 2.2,
"position": [
1760,
820
],
"id": "b57f6fde-5e8f-48bf-a26f-59bdf0d443c9",
"name": "Filter"
},
{
"parameters": {
"aggregate": "aggregateAllItemData",
"destinationFieldName": "videos",
"options": {}
},
"type": "n8n-nodes-base.aggregate",
"typeVersion": 1,
"position": [
1080,
820
],
"id": "3517d763-6805-405b-a61c-eb43afc8dc24",
"name": "videos2"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "2d0d8178-48d6-4adc-b492-2d5ce87830ab",
"leftValue": "={{ $json.items }}",
"rightValue": "",
"operator": {
"type": "array",
"operation": "notEmpty",
"singleValue": true
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
2860,
840
],
"id": "5c1d97b3-1ebf-41ac-be05-0ea07884f47b",
"name": "If"
},
{
"parameters": {
"respondWith": "json",
"responseBody": "{\n \"success\": true\n}",
"options": {}
},
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.1,
"position": [
1920,
1680
],
"id": "82255330-48ce-4312-9a9e-3d482ce86622",
"name": "Respond to Webhook1"
},
{
"parameters": {
"method": "POST",
"url": "https://n8n.dinastia.uk/webhook/65454564aawdaw-awdawaw64565",
"sendBody": true,
"bodyParameters": {
"parameters": [
{
"name": "yt_id",
"value": "={{ $json.yt_id }}"
}
]
},
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
1200,
2400
],
"id": "1ba9ca2b-6707-47a6-adb3-b258687fe961",
"name": "HTTP Request1"
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.splitInBatches",
"typeVersion": 3,
"position": [
960,
2380
],
"id": "4a509218-9b1c-4d35-8e05-2289585aabd0",
"name": "video3"
},
{
"parameters": {},
"type": "n8n-nodes-base.noOp",
"typeVersion": 1,
"position": [
1200,
2260
],
"id": "65af51b1-62ea-4156-9041-f098b1072da7",
"name": "finished3"
},
{
"parameters": {
"operation": "executeQuery",
"query": "SELECT yt_id FROM videos WHERE faq_captions = '{\"faq\": []}'::jsonb;",
"options": {}
},
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.5,
"position": [
740,
2380
],
"id": "d534ff1f-e392-406e-be03-d6817259fac9",
"name": "Postgres1",
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-4o",
"mode": "list",
"cachedResultName": "gpt-4o"
},
"options": {
"temperature": 0
}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
780,
2160
],
"id": "fe242a71-b0c1-4bb3-b578-017ce2dd7534",
"name": "OpenAI Chat Model",
"credentials": {}
},
{
"parameters": {
"aggregate": "aggregateAllItemData",
"options": {}
},
"type": "n8n-nodes-base.aggregate",
"typeVersion": 1,
"position": [
1740,
1680
],
"id": "f3c8ecd6-1c04-4c3c-b8c0-7b16e2381aee",
"name": "Aggregate"
},
{
"parameters": {
"httpMethod": "POST",
"path": "hey-dinastia",
"options": {}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
2980,
1880
],
"id": "ad77f5aa-811e-4f0f-8946-80333eaa64bd",
"name": "Webhook2"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "loose",
"version": 2
},
"conditions": [
{
"id": "ac22aae8-4980-404e-9da1-01b92a842ced",
"leftValue": "={{ [\"556299597044@s.whatsapp.net\",\"447928821569@s.whatsapp.net\", \"555197490815@s.whatsapp.net\", \"5521979361766@s.whatsapp.net\", \"5511947927078@s.whatsapp.net\", \"5521976667714@s.whatsapp.net\",\n\"120363395781099946@g.us\",\n\"120363387789538925@g.us\", \"120363375520943587@g.us\", \"120363381248656352@g.us\"].includes($json.body.data.key.remoteJid) }}",
"rightValue": "={{ $json.body.data.key.remoteJid }}",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
}
},
{
"id": "112239ad-7e99-4028-bce4-4b41ab52a803",
"leftValue": "={{ $json.body?.data?.message?.conversation || $json.body?.data?.message?.ephemeralMessage?.message?.extendedTextMessage?.text }}",
"rightValue": "#heydinastia",
"operator": {
"type": "string",
"operation": "contains"
}
}
],
"combinator": "and"
},
"looseTypeValidation": true,
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2.2,
"position": [
3140,
1880
],
"id": "d39ddd94-c571-438d-8c3b-1b9068e4c8db",
"name": "auth"
},
{
"parameters": {
"operation": "executeQuery",
"query": "Select yt_id, title FROM videos;",
"options": {}
},
"type": "n8n-nodes-base.postgres",
"typeVersion": 2.5,
"position": [
3400,
1860
],
"id": "70f415c1-74ce-4991-9537-190a5afa89cb",
"name": "listar_videos"
},
{
"parameters": {
"sessionIdType": "customKey",
"sessionKey": "=heydinastia_{{ $('auth').item.json.body.data.key.remoteJid }}",
"sessionTTL": 300
},
"type": "@n8n/n8n-nodes-langchain.memoryRedisChat",
"typeVersion": 1.4,
"position": [
3920,
2080
],
"id": "e3f27815-fc6d-4167-8cf9-6dc68fa894df",
"name": "Redis Chat Memory"
},
{
"parameters": {
"resource": "messages-api",
"instanceName": "HeyDinastIA",
"remoteJid": "={{ $('auth').item.json.body.data.key.remoteJid }}",
"messageText": "={{ $json.output }}",
"options_message": {
"quoted": {
"messageQuoted": {
"messageId": "={{ $('auth').item.json.body.data.key.id }}"
}
}
}
},
"type": "n8n-nodes-evolution-api.evolutionApi",
"typeVersion": 1,
"position": [
4180,
1860
],
"id": "8750d2e7-f1ee-4940-b4eb-501a952378c1",
"name": "Evolution API",
"credentials": {}
},
{
"parameters": {},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
880,
460
],
"id": "451aa81e-4021-4e04-a090-d6090f79534e",
"name": "Sticky Note2"
},
{
"parameters": {
"content": "## Rodando no WhatsApp",
"height": 700,
"width": 1780
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
2880,
1740
],
"id": "da3d72ea-00b3-44c9-9f65-a7f80b272ec1",
"name": "Sticky Note3"
},
{
"parameters": {
"modelName": "models/gemini-2.0-flash",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"typeVersion": 1,
"position": [
3740,
2060
],
"id": "10e75e80-f0f9-4aed-b1d7-33b0447650ee",
"name": "Google Gemini Chat Model"
},
{
"parameters": {
"promptType": "define",
"text": "=<SRT>\n{{ $json.parsedSrt.map((text, index) => `\n${index+1}\n\n${text.time}\n${text.text}\n`) }}\n</SRT>",
"messages": {
"messageValues": [
{
"message": "=<RESUMO_VIDEO>\n{{ $('resumo').item.json.text }}\n</RESUMO_VIDEO>\n\n<TITULO_VIDEO>\n{{ $('video').item.json.title }}\n</TITULO_VIDEO>\n\n# DisnatIA\nA DinastIA \u00e9 a maior comunidade de desenvolvimento de Agentes de IA do Brasil. Focada em verticais de agentes, como SDR, Atendimento, Agendamento, Marketing digital como trafego pago, analista de campanhas pagas. \n\n# O aluno\nO aluno da DinastIA s\u00e3o empreendedores que desejam aprender como criar agentes de IA e revendar ao mercado. S\u00e3o pessoas t\u00e9cnicas na maioria das vezes\ne possuem conhecimento sobre a plataforma do n8n.\n\n# Sua fun\u00e7\u00e3o\nVoc\u00ea \u00e9 um analista de texto experiente. Sua fun\u00e7\u00e3o \u00e9 analisar o texto em <SRT>. Tendo em considera\u00e7\u00e3o tamb\u00e9m o <RESUMO_VIDEO> e <TITULO_VIDEO>, crie v\u00e1rias perguntas baseado em como que O aluno iria perguntar. Juntamente com a pergunta, indique em qual minuto e segundo do v\u00eddeo estar\u00e1 a resposta, utilizando o formato &t do YouTube. Exemplo t=15m10s e includa esta informa\u00e7\u00e3o na chave \"tempo\".\n\n# Objetivo\nSeu objetivo \u00e9 analisar com precis\u00e3o o texto e contexto e criar perguntas cuja a resposta est\u00e1 indicada neste tempo. Apenas crie perguntas que sejam relevantes para este tempo. Tenha tamb\u00e9m como referencia o <RESUMO_VIDEO> e <TITULO_VIDEO> para analisar perguntas que tenham rela\u00e7\u00e3o a eles tamb\u00e9m.\n\n# Varia\u00e7\u00f5es\nCrie varia\u00e7\u00f5es de perguntas baseado no <TITULO_VIDEO> e <RESUMO_VIDEO> caso fa\u00e7a sentido. Caso n\u00e3o fizer sentido, n\u00e3o crie as varia\u00e7\u00f5es.\n\n# Evite\nN\u00e3o crie perguntas cuja a resposta n\u00e3o esteja presente em <SRT>.\nN\u00e3o come\u00e7e a resposta com \"```json\". Responda apenas usando o formato em JSON.\n\n# Formato\nResponda apenas utilizando o formato JSON, sem aspas, sem \"```json\" no come\u00e7o e sem \"```\" no final. Utilize a Schema abaixo:\n[\n {\n \"pergunta\": string,\n \"tempo\": string\n }\n]"
}
]
}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.5,
"position": [
1740,
1880
],
"id": "bbe3aa84-ca81-4baf-b6c5-e3450a68e7b9",
"name": "perguntas"
},
{
"parameters": {
"promptType": "define",
"options": {}
},
"id": "4e223a92-1eff-4425-8c6b-80c3c47e0830",
"name": "Question and Answer Chain",
"type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
"typeVersion": 1.4,
"position": [
1960,
2160
]
},
{
"parameters": {
"model": "gpt-4o",
"options": {}
},
"id": "2ed0baf5-075c-4c8a-8503-277f7a358a13",
"name": "OpenAI Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.1,
"position": [
1880,
2300
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"topK": 10
},
"id": "e4ebd410-dd96-4765-8f3c-9fdee8e3e22f",
"name": "Vector Store Retriever",
"type": "@n8n/n8n-nodes-langchain.retrieverVectorStore",
"typeVersion": 1,
"position": [
2020,
2300
]
},
{
"parameters": {
"qdrantCollection": {
"__rl": true,
"value": "documentsNaka",
"mode": "list",
"cachedResultName": "documentsNaka"
},
"options": {}
},
"id": "8fda4277-3e73-40f8-b9bc-df1d5564e9b8",
"name": "Qdrant Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"typeVersion": 1,
"position": [
2320,
2480
],
"credentials": {
"qdrantApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"id": "50e73d7e-84e5-4fbb-be88-2b933c507f23",
"name": "Embeddings OpenAI1",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1.2,
"position": [
2200,
2560
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"httpMethod": "POST",
"path": "65454564aawdaw-awdawaw64565",
"responseMode": "responseNode",
"options": {}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
520,
1800
],
"id": "22ea63bb-fc64-425f-8b96-ea0d81f6afc4",
"name": "Webhook1"
},
{
"parameters": {
"promptType": "define",
"text": "=<SRT>\n{{ $json.captions }}\n</SRT>\n\n",
"messages": {
"messageValues": [
{
"message": "Voce \u00e9 um analista de texto experiente e sua fun\u00e7\u00e3o \u00e9 criar um resumo do v\u00eddeo que est\u00e1 em <SRT>. Crie um resumo destacando os pincip\u00e1is t\u00f3picos abordados, as principais ferramentas, utilidade, passo a passo. O resumo deve ser direcionado a pessoas que est\u00e3o iniciando seus desenvolvimentos em automa\u00e7\u00e3o e agentes de IA. Escreva no formato Markdown. Seja objetivo, a mensagem do resumo tem que ser concisa e apenas identificar de forma fidedigna o conteudo em si. Do not start with \"```markdown\""
}
]
}
},
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"typeVersion": 1.5,
"position": [
880,
1800
],
"id": "81bd3986-77bb-426c-b625-3ad70094fbd0",
"name": "resumo"
},
{
"parameters": {
"model": "gpt-4o",
"options": {}
},
"id": "a0d9d80a-e2a4-4ae6-9028-08e9b3558354",
"name": "OpenAI Chat Model2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.1,
"position": [
840,
1960
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"model": "gpt-4o",
"options": {}
},
"id": "b92f6988-3ee8-4100-9b97-30f09c41928a",
"name": "OpenAI Chat Model4",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.1,
"position": [
1660,
2000
],
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
}
],
"connections": {
"credencial": {
"main": [
[
{
"node": "buscar_todos_os_videos_backup",
"type": "main",
"index": 0
}
]
]
},
"exportar_chave": {
"main": [
[
{
"node": "credencial",
"type": "main",
"index": 0
}
]
]
},
"Extract from File": {
"main": [
[
{
"node": "inserir_video_bd",
"type": "main",
"index": 0
}
]
]
},
"buscar_captions": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"download_subtitle": {
"main": [
[
{
"node": "Extract from File",
"type": "main",
"index": 0
}
]
]
},
"buscar_video": {
"main": [
[
{
"node": "public_only",
"type": "main",
"index": 0
}
]
]
},
"Loop Over Items": {
"main": [
[
{
"node": "finished",
"type": "main",
"index": 0
}
],
[
{
"node": "buscar_video",
"type": "main",
"index": 0
}
]
]
},
"inserir_video_bd": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"public_only": {
"main": [
[
{
"node": "buscar_captions",
"type": "main",
"index": 0
}
],
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"Embeddings OpenAI3": {
"ai_embedding": [
[
{
"node": "RAG",
"type": "ai_embedding",
"index": 0
}
]
]
},
"RAG": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"buscar_srt": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"videos": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"parsedSrt": {
"main": [
[
{
"node": "minutos",
"type": "main",
"index": 0
}
]
]
},
"get_video": {
"main": [
[
{
"node": "merge_perguntas",
"type": "main",
"index": 0
}
]
]
},
"minutos": {
"main": [
[
{
"node": "minuto",
"type": "main",
"index": 0
}
]
]
},
"minuto": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
],
[
{
"node": "perguntas",
"type": "main",
"index": 0
}
]
]
},
"merge_perguntas": {
"main": [
[
{
"node": "update_faq",
"type": "main",
"index": 0
}
]
]
},
"update_faq": {
"main": [
[
{
"node": "minuto",
"type": "main",
"index": 0
}
]
]
},
"video": {
"main": [
[
{
"node": "resumo",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Vector Storage1",
"type": "ai_document",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Vector Storage1",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Vector Storage1": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"video1": {
"main": [
[
{
"node": "Vector Storage1",
"type": "main",
"index": 0
}
]
]
},
"Webhook": {
"main": [
[
{
"node": "video1",
"type": "main",
"index": 0
}
]
]
},
"video2": {
"main": [
[
{
"node": "finished2",
"type": "main",
"index": 0
}
],
[
{
"node": "HTTP Request",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request": {
"main": [
[
{
"node": "video2",
"type": "main",
"index": 0
}
]
]
},
"Postgres": {
"main": [
[
{
"node": "video2",
"type": "main",
"index": 0
}
]
]
},
"buscar_todos_os_videos_backup": {
"main": [
[
{
"node": "Filter",
"type": "main",
"index": 0
}
]
]
},
"videos1": {
"main": [
[
{
"node": "videos2",
"type": "main",
"index": 0
}
]
]
},
"Filter": {
"main": [
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"videos2": {
"main": [
[
{
"node": "exportar_chave",
"type": "main",
"index": 0
}
]
]
},
"If": {
"main": [
[
{
"node": "download_subtitle",
"type": "main",
"index": 0
}
],
[
{
"node": "Loop Over Items",
"type": "main",
"index": 0
}
]
]
},
"HTTP Request1": {
"main": [
[
{
"node": "video3",
"type": "main",
"index": 0
}
]
]
},
"video3": {
"main": [
[
{
"node": "finished3",
"type": "main",
"index": 0
}
],
[
{
"node": "HTTP Request1",
"type": "main",
"index": 0
}
]
]
},
"Postgres1": {
"main": [
[
{
"node": "video3",
"type": "main",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "Respond to Webhook1",
"type": "main",
"index": 0
}
]
]
},
"Webhook2": {
"main": [
[
{
"node": "auth",
"type": "main",
"index": 0
}
]
]
},
"listar_videos": {
"main": [
[
{
"node": "videos",
"type": "main",
"index": 0
}
]
]
},
"auth": {
"main": [
[
{
"node": "listar_videos",
"type": "main",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "Evolution API",
"type": "main",
"index": 0
}
]
]
},
"Redis Chat Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"perguntas": {
"main": [
[
{
"node": "get_video",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "Question and Answer Chain",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Vector Store Retriever": {
"ai_retriever": [
[
{
"node": "Question and Answer Chain",
"type": "ai_retriever",
"index": 0
}
]
]
},
"Qdrant Vector Store": {
"ai_vectorStore": [
[
{
"node": "Vector Store Retriever",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"Embeddings OpenAI1": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Webhook1": {
"main": [
[
{
"node": "video",
"type": "main",
"index": 0
}
]
]
},
"resumo": {
"main": [
[
{
"node": "parsedSrt",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model2": {
"ai_languageModel": [
[
{
"node": "resumo",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model4": {
"ai_languageModel": [
[
{
"node": "perguntas",
"type": "ai_languageModel",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
},
"staticData": null,
"meta": null,
"versionId": "e7478afc-c300-40ee-888e-faed5d6f77b3",
"triggerCount": 0,
"tags": [
{
"createdAt": "2025-01-18T12:45:43.202Z",
"updatedAt": "2025-01-18T12:45:43.202Z",
"id": "7B7qTAU2yw7dt0xZ",
"name": "black"
}
]
}
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.
openAiApipostgresqdrantApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
HeyDinastia. Uses executeCommand, httpRequest, youTube, postgres. Webhook trigger; 66 nodes.
Source: https://github.com/divalf/n8n_backup_do/blob/a598a741575ef6e64ed9b8102d133d604019a595/cliente_dinastia/XURt1tBvyNsU2uun.json — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
Camila IA. Uses postgres, crypto, redis, agent. Webhook trigger; 92 nodes.
Postgres, Crypto, Redis +13
Hi! I’m Amanda, a creator of intelligent automations using n8n and Make. I’ve been building AI-powered workflows for over 2 years, always focused on usability and innovation. This one here is very spe
OpenAI Chat, Redis, OpenAI +11
This workflow automates customer support across multiple channels (Email, Live Chat, WhatsApp, Slack, Discord) using AI-powered responses enhanced with Retrieval Augmented Generation (RAG) and your pr
Email Read Imap, WhatsApp Trigger, Slack Trigger +12
YouTube Agent. Uses supabase, agent, lmChatAnthropic, outputParserStructured. Webhook trigger; 56 nodes.
Supabase, Agent, Anthropic Chat +10
AI Multi-Document Analyzer with Smart Recommendations & Reporting
Crypto, Agent, OpenAI Chat +8