This workflow follows the Chainllm → Chainsummarization recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"nodes": [
{
"id": "a3af309b-d24c-42fe-8bcd-f330927c7a3c",
"name": "Local File Trigger",
"type": "n8n-nodes-base.localFileTrigger",
"position": [
140,
260
],
"parameters": {
"path": "/home/node/storynotes/context",
"events": [
"add"
],
"options": {
"usePolling": true,
"followSymlinks": true
},
"triggerOn": "folder"
},
"typeVersion": 1
},
{
"id": "048f9d67-6519-4dea-97df-aaddfefbfea2",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
1300,
720
],
"parameters": {
"options": {
"metadata": {
"metadataValues": [
{
"name": "project",
"value": "={{ $('Settings').item.json.project }}"
},
{
"name": "filename",
"value": "={{ $('Settings').item.json.filename }}"
}
]
}
},
"jsonData": "={{ $json.data }}",
"jsonMode": "expressionData"
},
"typeVersion": 1
},
{
"id": "9e9047c9-4428-4afb-8c74-d6eb1075a65a",
"name": "Recursive Character Text Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
1300,
860
],
"parameters": {
"options": {},
"chunkSize": 2000
},
"typeVersion": 1
},
{
"id": "e42e3f82-6cd9-40c4-9da2-8f87ee5b3956",
"name": "Embeddings Mistral Cloud",
"type": "@n8n/n8n-nodes-langchain.embeddingsMistralCloud",
"position": [
1180,
720
],
"parameters": {
"options": {}
},
"credentials": {
"mistralCloudApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "578c63db-4f6e-4341-ab0d-111debd519be",
"name": "Mistral Cloud Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatMistralCloud",
"position": [
2660,
840
],
"parameters": {
"model": "open-mixtral-8x7b",
"options": {}
},
"credentials": {
"mistralCloudApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "c34adb3e-1fb9-4248-ae83-2bac34c8b0a4",
"name": "Mistral Cloud Chat Model1",
"type": "@n8n/n8n-nodes-langchain.lmChatMistralCloud",
"position": [
1200,
400
],
"parameters": {
"model": "open-mixtral-8x7b",
"options": {}
},
"credentials": {
"mistralCloudApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "98e6dcc0-1e3a-4119-b657-0949f34ba525",
"name": "Prep Incoming Doc",
"type": "n8n-nodes-base.set",
"position": [
900,
420
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "da64ffde-1e8f-478d-baea-59fc05e6d3ce",
"name": "data",
"type": "string",
"value": "={{ $json.text }}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "ab88cf9a-d310-4bef-9280-8b23729e7cc9",
"name": "Settings",
"type": "n8n-nodes-base.set",
"position": [
320,
260
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "df327b01-961c-4a49-8455-58c3fbff111a",
"name": "project",
"type": "string",
"value": "={{ $json.path.split('/').slice(0, 4)[3] }}"
},
{
"id": "6b7d26f9-3a38-417e-85d0-4e9d42476465",
"name": "path",
"type": "string",
"value": "={{ $json.path }}"
},
{
"id": "bb4471c7-d894-4739-99a6-4be247794ffa",
"name": "filename",
"type": "string",
"value": "={{ $json.path.split('/').last() }}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "35c6b678-e6e9-4adf-a904-909fa2401d5e",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
1600,
420
],
"parameters": {
"mode": "chooseBranch"
},
"typeVersion": 2.1
},
{
"id": "0fa13be8-8500-486c-a1c6-cc1df00a4947",
"name": "Get Doc Types",
"type": "n8n-nodes-base.set",
"position": [
2000,
420
],
"parameters": {
"mode": "raw",
"options": {},
"jsonOutput": "{\n \"docs\": [\n {\n \"filename\": \"study_guide.md\",\n \"title\": \"Study Guide\",\n \"description\": \"A Study Guide is a consolidated resource designed to aid learning. This guide includes three key elements: * A short answer quiz accompanied by an answer key to test comprehension. * A curated list of long-form essay questions to encourage deeper analysis and synthesis of the material. * A glossary of key terms to reinforce understanding of important concepts.\"\n },\n {\n \"filename\": \"timeline.md\",\n \"title\": \"Timeline\",\n \"description\": \"A Timeline organizes all significant events described in the sources you have uploaded in chronological order. This ordered list makes it easier to understand the sequence of events and their connection to the broader context of your sources. In addition to the list of events, the Timeline also provides a \u201ccast of characters,\u201d which comprises short biographical sketches of all the important people mentioned in your uploaded sources. These short biographies can help you quickly grasp the roles of various individuals involved in the events described by the Timeline.\"\n },\n {\n \"filename\": \"briefing_doc.md\",\n \"title\": \"Briefing Doc\",\n \"description\": \"A Briefing Doc identifies and presents the most important facts and insights from the sources in an easy-to-understand outline format. This format is designed to provide a concise overview of the key takeaways from the uploaded materials.\"\n }\n ]\n}\n"
},
"executeOnce": true,
"typeVersion": 3.3
},
{
"id": "e3469368-f214-4549-844e-7febfbbf0202",
"name": "Split Out Doc Types",
"type": "n8n-nodes-base.splitOut",
"position": [
2160,
420
],
"parameters": {
"options": {},
"fieldToSplitOut": "docs"
},
"typeVersion": 1
},
{
"id": "df401e9e-2f70-4079-969b-6b61142fca37",
"name": "For Each Doc Type...",
"type": "n8n-nodes-base.splitInBatches",
"position": [
2340,
420
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "c334b546-8e11-424d-bdd5-006e7086f24b",
"name": "Item List Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserItemList",
"position": [
2840,
840
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "4267c2b5-f1cd-4df7-84ee-be01a643a1c1",
"name": "Vector Store Retriever",
"type": "@n8n/n8n-nodes-langchain.retrieverVectorStore",
"position": [
3200,
840
],
"parameters": {},
"typeVersion": 1
},
{
"id": "abf833ec-8a6d-4e13-a526-0ea6b80d578f",
"name": "Embeddings Mistral Cloud1",
"type": "@n8n/n8n-nodes-langchain.embeddingsMistralCloud",
"position": [
3200,
1060
],
"parameters": {
"options": {}
},
"credentials": {
"mistralCloudApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "a0e50185-6662-4b11-9922-59e8b06e4967",
"name": "Qdrant Vector Store1",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
3200,
940
],
"parameters": {
"qdrantCollection": {
"__rl": true,
"mode": "list",
"value": "storynotes",
"cachedResultName": "storynotes"
}
},
"credentials": {
"qdrantApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "20c5766a-d3ce-4c01-a76b-facf1a00abc2",
"name": "Mistral Cloud Chat Model2",
"type": "@n8n/n8n-nodes-langchain.lmChatMistralCloud",
"position": [
3100,
840
],
"parameters": {
"options": {}
},
"credentials": {
"mistralCloudApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "f049b7af-07f3-47e5-9476-68d73a387978",
"name": "Split Out",
"type": "n8n-nodes-base.splitOut",
"position": [
2960,
680
],
"parameters": {
"options": {},
"fieldToSplitOut": "response"
},
"typeVersion": 1
},
{
"id": "39042ae0-e17f-46cd-84be-728868950d84",
"name": "Aggregate",
"type": "n8n-nodes-base.aggregate",
"position": [
3400,
680
],
"parameters": {
"options": {},
"fieldsToAggregate": {
"fieldToAggregate": [
{
"fieldToAggregate": "response.text"
}
]
}
},
"typeVersion": 1
},
{
"id": "e3b900c8-515d-4ac7-88fa-c364134ba9f9",
"name": "Mistral Cloud Chat Model3",
"type": "@n8n/n8n-nodes-langchain.lmChatMistralCloud",
"position": [
3540,
840
],
"parameters": {
"model": "open-mixtral-8x7b",
"options": {}
},
"credentials": {
"mistralCloudApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "efb26a5d-6a61-44b2-ad99-6d1f8b48998d",
"name": "Discover",
"type": "@n8n/n8n-nodes-langchain.chainRetrievalQa",
"position": [
3100,
680
],
"parameters": {
"text": "={{ $json.response }}",
"promptType": "define"
},
"typeVersion": 1.3
},
{
"id": "302b7523-898e-47af-8941-aa5f8a58fd9c",
"name": "2secs",
"type": "n8n-nodes-base.wait",
"position": [
3880,
1060
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "007857b0-c12c-4c57-b07f-db30526cd747",
"name": "Get Generated Documents",
"type": "n8n-nodes-base.set",
"position": [
2680,
240
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "b38546b2-47c4-4967-a2d7-98aebd589e95",
"name": "data",
"type": "string",
"value": "={{ $json.text }}"
},
{
"id": "a263519a-aa05-410a-b4f0-f5e22cc5058c",
"name": "path",
"type": "string",
"value": "={{ $('Prep For AI').item.json.path }}"
},
{
"id": "ec1687d6-0ea9-460f-b9d4-ae4a7e229e12",
"name": "filename",
"type": "string",
"value": "={{ $('Prep For AI').item.json.name }}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "36fac35f-df10-41ab-96a7-3a5e67f9d8df",
"name": "Generate",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
3540,
680
],
"parameters": {
"text": "=## Document\n{{ $json.text.join('\\n') }}",
"messages": {
"messageValues": [
{
"message": "=Your job is to create a {{ $('For Each Doc Type...').item.json.title }} for the given document. {{ $('For Each Doc Type...').item.json.description }}\n\nGenerate a {{ $('For Each Doc Type...').item.json.title }} for the given document. If questions are generated, generate the answers alongside them. Format your response in markdown; use \"#\" to format headings, use \"*\" to format lists."
}
]
},
"promptType": "define"
},
"typeVersion": 1.4
},
{
"id": "b9a79cb0-bcc1-4d73-af93-5f8d7e2258a9",
"name": "Prep For AI",
"type": "n8n-nodes-base.set",
"position": [
1760,
420
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "5c864125-c884-4d33-b0ed-e3eecd354196",
"name": "id",
"type": "string",
"value": "={{ $('Settings').first().json.filename.hash() }}"
},
{
"id": "93ac14c1-ae97-4ef2-a66f-6c1110f3b0fc",
"name": "project",
"type": "string",
"value": "={{ $('Settings').first().json.project }}"
},
{
"id": "fafd16b9-0002-4f7c-89d0-29788f8ec472",
"name": "path",
"type": "string",
"value": "={{ $('Settings').first().json.path }}"
},
{
"id": "5a5860ba-918b-4fb8-b18c-96c1cd22091a",
"name": "name",
"type": "string",
"value": "={{ $('Settings').first().json.filename }}"
},
{
"id": "1a1caf65-85d8-4f74-a3be-503ccfc0b2c9",
"name": "summary",
"type": "string",
"value": "={{ $('Summarization Chain').first().json.response.text }}"
}
]
}
},
"typeVersion": 3.3
},
{
"id": "e40c7e99-9813-4f06-92bb-dfb2839f1037",
"name": "To Binary",
"type": "n8n-nodes-base.convertToFile",
"position": [
2860,
240
],
"parameters": {
"options": {},
"operation": "toText",
"sourceProperty": "={{ $json.data }}"
},
"typeVersion": 1.1
},
{
"id": "b55df916-7a51-4114-91b8-18a3c6ba2c56",
"name": "Export to Folder",
"type": "n8n-nodes-base.readWriteFile",
"position": [
3020,
240
],
"parameters": {
"options": {},
"fileName": "={{\n $('Get Generated Documents').item.json.path.replace(\n $('Get Generated Documents').item.json.path.split('/').last(),\n $('Get Generated Documents').item.json.filename.substring(0,21) + '...' + $('Split Out Doc Types').item.json.title + '.md'\n )\n}}",
"operation": "write"
},
"typeVersion": 1
},
{
"id": "8490664e-0ca5-4839-ad03-d3f9706c99a3",
"name": "Get FileType",
"type": "n8n-nodes-base.switch",
"position": [
480,
420
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "pdf",
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.fileType }}",
"rightValue": "pdf"
}
]
},
"renameOutput": true
},
{
"outputKey": "docx",
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "3a5f509d-46fe-490c-95f0-35124873c63e",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.fileType }}",
"rightValue": "docx"
}
]
},
"renameOutput": true
},
{
"outputKey": "everything else",
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "75188d2f-4bea-44ea-a579-9b9a1bd1ea93",
"operator": {
"type": "object",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json }}",
"rightValue": ""
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3
},
{
"id": "386f7aac-f3b9-4565-907f-687d48b00c52",
"name": "Import File",
"type": "n8n-nodes-base.readWriteFile",
"position": [
320,
420
],
"parameters": {
"options": {},
"fileSelector": "={{ $json.path }}"
},
"typeVersion": 1
},
{
"id": "6ade93d5-61c3-450a-b78c-e210c18c0e70",
"name": "Extract from PDF",
"type": "n8n-nodes-base.extractFromFile",
"position": [
680,
260
],
"parameters": {
"options": {},
"operation": "pdf"
},
"typeVersion": 1
},
{
"id": "f413e139-3f9c-438f-8e82-824c38f09c6b",
"name": "Extract from DOCX",
"type": "n8n-nodes-base.extractFromFile",
"position": [
680,
420
],
"parameters": {
"options": {},
"operation": "ods"
},
"typeVersion": 1
},
{
"id": "455fadea-f5c7-4bea-983f-b06da4e57510",
"name": "Extract from TEXT",
"type": "n8n-nodes-base.extractFromFile",
"position": [
680,
580
],
"parameters": {
"options": {},
"operation": "text"
},
"typeVersion": 1
},
{
"id": "b2586011-4985-4075-b51c-90301b1a8cf9",
"name": "Summarization Chain",
"type": "@n8n/n8n-nodes-langchain.chainSummarization",
"position": [
1200,
260
],
"parameters": {
"options": {},
"chunkSize": 4000
},
"typeVersion": 2
},
{
"id": "1502e72c-e97e-4148-8138-01818ab5b104",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
60,
85.80882007954312
],
"parameters": {
"color": 7,
"width": 995.1475972814769,
"height": 694.0931000693263,
"content": "## 1\ub2e8\uacc4. \ud3f4\ub354 \uac10\uc2dc \ubc0f \uc0c8 \ubb38\uc11c \uac00\uc838\uc624\uae30\n\n[\ub85c\uceec \ud30c\uc77c \ud2b8\ub9ac\uac70\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc77d\uae30](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.localfiletrigger)\n\nn8n\uc758 \ub85c\uceec \ud30c\uc77c \ud2b8\ub9ac\uac70\ub97c \uc0ac\uc6a9\ud558\uba74 \ub300\uc0c1 \ud3f4\ub354\uc5d0 \ud30c\uc77c\uc774 \uc0dd\uc131\ub420 \ub54c \uc6cc\ud06c\ud50c\ub85c\ub97c \ud2b8\ub9ac\uac70\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \ud2b8\ub9ac\uac70\ub294 \ud30c\uc77c\uc758 \uacbd\ub85c\ub9cc \uc81c\uacf5\ud558\ubbc0\ub85c \uc5ec\uc804\ud788 \uc774\ub97c \uac00\uc838\uc640\uc57c \ud569\ub2c8\ub2e4. \u201cExtract From\u201d \ub178\ub4dc\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud30c\uc77c\uc758 \ub0b4\uc6a9\uc744 \uac00\uc838\uc635\ub2c8\ub2e4."
},
"typeVersion": 1
},
{
"id": "7b3afc2c-3fb8-4589-9475-78f5617009cc",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
1080,
82.96464765818223
],
"parameters": {
"color": 7,
"width": 824.3300768713589,
"height": 949.8141899605673,
"content": "## 2\ub2e8\uacc4. \ubb38\uc11c \ub0b4\uc6a9\uc744 \uc694\uc57d\ud558\uace0 \ubca1\ud130\ud654\ud558\uae30\n\n[Qdrant VectorStore \uc0ac\uc6a9\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\uae30](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreqdrant)\n\n\ubb38\uc11c\ub97c \uc6b0\ub9ac \ubca1\ud130 \uc800\uc7a5\uc18c\uc5d0 \ucea1\ucc98\ud558\ub294 \uac83\uc740 \ub098\uc911\uc5d0 \uc0ac\uc6a9\ud560 \uae30\uc220\uc778 Retrieval Augmented Generation \ub610\ub294 \uc904\uc5ec\uc11c \"RAG\"\uc5d0 \uc0ac\uc6a9\ud558\uae30 \uc704\ud55c \uac83\uc785\ub2c8\ub2e4. \uc6b0\ub9ac \uc2dc\ub098\ub9ac\uc624\uc5d0\uc11c, \uc774\ub294 LLM\uc774 \ucee8\ud14d\uc2a4\ud2b8\ub97c \ub354 \ud6a8\uc728\uc801\uc73c\ub85c \uac80\uc0c9\ud560 \uc218 \uc788\uac8c \ud558\uc5ec \ub354 \ub098\uc740 \uc751\ub2f5\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4."
},
"typeVersion": 1
},
{
"id": "74aabb02-ca5d-41ad-b84f-92d66428b774",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1940,
156.7963650826494
],
"parameters": {
"color": 7,
"width": 591.09953935829,
"height": 485.0226378812345,
"content": "## 3\ub2e8\uacc4. \ud15c\ud50c\ub9bf \ubc18\ubcf5\n\n\uc6b0\ub9ac\ub294 LLM\uc5d0\uac8c \uac00\uc838\uc628 \uc6d0\ubcf8 \ubb38\uc11c\uc5d0\uc11c 3\uac00\uc9c0 \uc720\ud615\uc758 \ub178\ud2b8\ub97c \uc0dd\uc131\ud558\ub3c4\ub85d \ub3c4\uc6b8 \uac83\uc744 \uc694\uccad\ud560 \uac83\uc785\ub2c8\ub2e4. \uc774 \ub178\ud2b8\ub4e4\uc740 \ub0b4\uc6a9\uc744 \ubd84\ud574\ud558\uc5ec \ub354 \ube60\ub978 \ud559\uc2b5\uc744 \uc704\ud55c \uac83\uc785\ub2c8\ub2e4. \uc774 \ub370\ubaa8\ub97c \uc704\ud55c \uc6b0\ub9ac\uc758 \ud15c\ud50c\ub9bf\uc740:\n(1) **\ud559\uc2b5 \uac00\uc774\ub4dc**\n(2) **\ube0c\ub9ac\ud551 \ubb38\uc11c**\n(3) **\ud0c0\uc784\ub77c\uc778**"
},
"typeVersion": 1
},
{
"id": "b96f899d-4a44-491c-b164-a42feba129eb",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
2560,
480
],
"parameters": {
"color": 7,
"width": 1500.7886103732135,
"height": 806.6560661824452,
"content": "## \ub2e8\uacc4 4. AI \uc5d0\uc774\uc804\ud2b8\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud15c\ud50c\ub9bf \ubb38\uc11c\ub97c \ucffc\ub9ac\ud558\uace0 \uc0dd\uc131\ud558\uae30 \n[Question & Answer Retrieval Chain \uc0ac\uc6a9\uc5d0 \ub300\ud574 \ub354 \uc77d\uae30](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainretrievalqa) \n\nn8n\uc740 LLM\uc758 \uccb4\uc778\uc744 \uc5d0\uc774\uc804\ud2b8\ub85c \uc27d\uac8c \uc0ac\uc6a9\ud558\uc5ec \uc5b4\ub5a4 \uc791\uc5c5\ub3c4 \ud568\uaed8 \ucc98\ub9ac\ud560 \uc218 \uc788\uac8c \ud569\ub2c8\ub2e4! \n\uc5ec\uae30\uc11c \uc5d0\uc774\uc804\ud2b8\ub4e4\uc740 \uc18c\uc2a4 \ubb38\uc11c\uc758 \ub0b4\uc6a9\uc744 \ud0d0\uc0c9\ud558\uae30 \uc704\ud574 \uc9c8\ubb38\uc744 \uc0dd\uc131\ud558\uace0, \ub2f5\ubcc0\uc744 \uc0ac\uc6a9\ud558\uc5ec \ud15c\ud50c\ub9bf\uc744 \uc0dd\uc131\ud569\ub2c8\ub2e4."
},
"typeVersion": 1
},
{
"id": "77fda269-6877-422f-b6e6-4346bde862db",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
2560,
67.64523011966037
],
"parameters": {
"color": 7,
"width": 771.8710855215123,
"height": 384.22073222791266,
"content": "## \ub2e8\uacc4 5: \uc0dd\uc131\ub41c \ud15c\ud50c\ub9bf\uc744 \ud3f4\ub354\ub85c \ub0b4\ubcf4\ub0b4\uae30 \n[\ub85c\uceec \ud30c\uc77c \uc2dc\uc2a4\ud15c\uc5d0 \uc4f0\uae30 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc54c\uc544\ubcf4\uae30](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.filesreadwrite) \n\n\ub9c8\uce68\ub0b4, AI\ub85c \uc0dd\uc131\ub41c \ubb38\uc11c\ub97c \ub514\uc2a4\ud06c\ub85c \ub0b4\ubcf4\ub0bc \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uc6cc\ud06c\ud50c\ub85c\uc6b0\ub294 \ub2e4\uc591\ud55c \uc18c\uc2a4 \uc790\ub8cc\uc5d0\uc11c \ubaa8\ub4e0 \uc885\ub958\uc758 \ubb38\uc11c\ub97c \uc27d\uac8c \uc0dd\uc131\ud560 \uc218 \uc788\uac8c \ud558\uba70, \uad50\uc721\uacfc \ud310\ub9e4\uc5d0 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4."
},
"typeVersion": 1
},
{
"id": "08839972-f0f4-4144-bf27-810664cbf828",
"name": "Qdrant Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
1200,
560
],
"parameters": {
"mode": "insert",
"options": {},
"qdrantCollection": {
"__rl": true,
"mode": "list",
"value": "storynotes",
"cachedResultName": "storynotes"
}
},
"credentials": {
"qdrantApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "7e216411-83ee-4b82-9e00-285d4f2d3224",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
-360,
80
],
"parameters": {
"width": 390.63004227317265,
"height": 401.0080676370763,
"content": "## \uc9c1\uc811 \ud574\ubcf4\uc138\uc694!\n\n### \uc774 \uc6cc\ud06c\ud50c\ub85c\uc6b0\ub294 \uc18c\uc2a4 \ubb38\uc11c\uc5d0\uc11c \ub178\ud2b8\ub97c \uc790\ub3d9 \uc0dd\uc131\ud569\ub2c8\ub2e4.\n* \uc9c0\uc815\ub41c \ud3f4\ub354\ub97c \uac10\uc2dc\ud558\uc5ec \uc0c8\ub85c\uc6b4 \ud30c\uc77c\uc744 \uac10\uc9c0\ud569\ub2c8\ub2e4.\n* \uc0c8\ub85c\uc6b4 \ud30c\uc77c\uc774 \uac10\uc9c0\ub418\uba74 \ud30c\uc77c \ub0b4\uc6a9\uc744 \ubca1\ud130\uc2a4\ud1a0\uc5b4\uc5d0 \uc800\uc7a5\ud569\ub2c8\ub2e4.\n* \ud15c\ud50c\ub9bf \ubaa9\ub85d\uc5d0 \ub530\ub77c \ub2e4\uc218\uc758 AI \uc5d0\uc774\uc804\ud2b8\uac00 \ubbf8\ub9ac \uc815\ud574\uc9c4 \ub178\ud2b8\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4.\n* \uc774\ub7ec\ud55c \ub178\ud2b8\ub294 \uc6d0\ubcf8 \uc18c\uc2a4 \ud30c\uc77c\uacfc \ud568\uaed8 \uc0ac\uc6a9\uc790\uc5d0\uac8c \ub0b4\ubcf4\ub0b4\uc9d1\ub2c8\ub2e4.\n\n### \ub3c4\uc6c0\uc774 \ud544\uc694\ud558\uc2e0\uac00\uc694?\n[Discord](https://discord.com/invite/XPKeKXeB7d)\uc5d0 \uac00\uc785\ud558\uac70\ub098 [Forum](https://community.n8n.io/)\uc5d0\uc11c \ubb38\uc758\ud558\uc138\uc694!\n\n\ud574\ud53c \ud574\ud0b9!"
},
"typeVersion": 1
},
{
"id": "f2c363d3-a2bf-4468-ad54-f26649ce6ab8",
"name": "Interview",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
2660,
680
],
"parameters": {
"text": "=## document summary\n {{ $('Prep For AI').item.json.summary }}",
"messages": {
"messageValues": [
{
"message": "=Given the following document summary, what questions would you ask to create a {{ $('For Each Doc Type...').item.json.title }} for the document? Generate 5 questions."
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.4
},
{
"id": "ce3da55d-8c22-40bb-8781-63c2e6bcb824",
"name": "Sticky Note6",
"type": "n8n-nodes-base.stickyNote",
"position": [
1960,
380
],
"parameters": {
"width": 172.26820279743384,
"height": 295.46359440513226,
"content": "\uc5ec\uae30\uc5d0 \uc790\uc2e0\uc758 \ud15c\ud50c\ub9bf\uc744 \ucd94\uac00\ud558\uc138\uc694!"
},
"typeVersion": 1
}
],
"connections": {
"2secs": {
"main": [
[
{
"node": "For Each Doc Type...",
"type": "main",
"index": 0
}
]
]
},
"Merge": {
"main": [
[
{
"node": "Prep For AI",
"type": "main",
"index": 0
}
]
]
},
"Discover": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
]
]
},
"Generate": {
"main": [
[
{
"node": "2secs",
"type": "main",
"index": 0
}
]
]
},
"Settings": {
"main": [
[
{
"node": "Import File",
"type": "main",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "Generate",
"type": "main",
"index": 0
}
]
]
},
"Interview": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
]
]
},
"Split Out": {
"main": [
[
{
"node": "Discover",
"type": "main",
"index": 0
}
]
]
},
"To Binary": {
"main": [
[
{
"node": "Export to Folder",
"type": "main",
"index": 0
}
]
]
},
"Import File": {
"main": [
[
{
"node": "Get FileType",
"type": "main",
"index": 0
}
]
]
},
"Prep For AI": {
"main": [
[
{
"node": "Get Doc Types",
"type": "main",
"index": 0
}
]
]
},
"Get FileType": {
"main": [
[
{
"node": "Extract from PDF",
"type": "main",
"index": 0
}
],
[
{
"node": "Extract from DOCX",
"type": "main",
"index": 0
}
],
[
{
"node": "Extract from TEXT",
"type": "main",
"index": 0
}
]
]
},
"Get Doc Types": {
"main": [
[
{
"node": "Split Out Doc Types",
"type": "main",
"index": 0
}
]
]
},
"Extract from PDF": {
"main": [
[
{
"node": "Prep Incoming Doc",
"type": "main",
"index": 0
}
]
]
},
"Extract from DOCX": {
"main": [
[
{
"node": "Prep Incoming Doc",
"type": "main",
"index": 0
}
]
]
},
"Extract from TEXT": {
"main": [
[
{
"node": "Prep Incoming Doc",
"type": "main",
"index": 0
}
]
]
},
"Prep Incoming Doc": {
"main": [
[
{
"node": "Qdrant Vector Store",
"type": "main",
"index": 0
},
{
"node": "Summarization Chain",
"type": "main",
"index": 0
}
]
]
},
"Local File Trigger": {
"main": [
[
{
"node": "Settings",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Qdrant Vector Store": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"Split Out Doc Types": {
"main": [
[
{
"node": "For Each Doc Type...",
"type": "main",
"index": 0
}
]
]
},
"Summarization Chain": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"For Each Doc Type...": {
"main": [
[
{
"node": "Get Generated Documents",
"type": "main",
"index": 0
}
],
[
{
"node": "Interview",
"type": "main",
"index": 0
}
]
]
},
"Qdrant Vector Store1": {
"ai_vectorStore": [
[
{
"node": "Vector Store Retriever",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"Vector Store Retriever": {
"ai_retriever": [
[
{
"node": "Discover",
"type": "ai_retriever",
"index": 0
}
]
]
},
"Get Generated Documents": {
"main": [
[
{
"node": "To Binary",
"type": "main",
"index": 0
}
]
]
},
"Item List Output Parser": {
"ai_outputParser": [
[
{
"node": "Interview",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Embeddings Mistral Cloud": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Mistral Cloud Chat Model": {
"ai_languageModel": [
[
{
"node": "Interview",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Embeddings Mistral Cloud1": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store1",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Mistral Cloud Chat Model1": {
"ai_languageModel": [
[
{
"node": "Summarization Chain",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Mistral Cloud Chat Model2": {
"ai_languageModel": [
[
{
"node": "Discover",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Mistral Cloud Chat Model3": {
"ai_languageModel": [
[
{
"node": "Generate",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
}
}
}
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.
mistralCloudApiqdrantApi
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About this workflow
Workflow 2339. Uses localFileTrigger, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsMistralCloud. Event-driven trigger; 42 nodes.
Source: https://github.com/n8nKOR/n8n-shared-workflow/blob/62a671327e906c22a40d290b339ff6d2373f8d75/workflows/n8n-workflows-by-Zie619/devops/2339_workflow_2339.json — original creator credit. Request a take-down →
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