Supabase ストレージ内のファイルと対話する AI エージェント
上級
これはEngineering, DevOps, Product, AI, IT Ops分野の自動化ワークフローで、33個のノードを含みます。主にIf, Merge, Switch, Supabase, Aggregateなどのノードを使用、AI技術を活用したスマート自動化を実現。 Supabaseストレージ内のファイルと対話するAIエージェント
前提条件
- •Supabase URL と API Key
- •ターゲットAPIの認証情報が必要な場合あり
- •OpenAI API Key
使用ノード (33)
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
"meta": {
"instanceId": "6a2a7715680b8313f7cb4676321c5baa46680adfb913072f089f2766f42e43bd"
},
"nodes": [
{
"id": "f577f6bd-b1a4-48ec-9329-7bccc3fc1463",
"name": "すべてのファイルを取得",
"type": "n8n-nodes-base.httpRequest",
"position": [
400,
-100
],
"parameters": {
"url": "=https://yqtvdcvjboenlblgcivl.supabase.co/storage/v1/object/list/private",
"method": "POST",
"options": {},
"jsonBody": "={\n \"prefix\": \"\",\n \"limit\": 100,\n \"offset\": 0,\n \"sortBy\": {\n \"column\": \"name\",\n \"order\": \"asc\"\n }\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "supabaseApi"
},
"credentials": {
"supabaseApi": {
"id": "t8AQJzvZvrOMDLec",
"name": "Supabase account My Airtable Gen"
}
},
"typeVersion": 4.2
},
{
"id": "10693bc8-560d-4cf6-8bd0-2fe3f4d863d1",
"name": "デフォルトデータローダー",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
1780,
100
],
"parameters": {
"options": {
"metadata": {
"metadataValues": [
{
"name": "=file_id",
"value": "={{ $json.id }}"
}
]
}
},
"jsonData": "={{ $('Merge').item.json.data ?? $('Merge').item.json.text }}",
"jsonMode": "expressionData"
},
"typeVersion": 1
},
{
"id": "49428060-e707-4269-8344-77b301f56f7c",
"name": "再帰的文字テキスト分割器",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
1780,
280
],
"parameters": {
"options": {},
"chunkSize": 500,
"chunkOverlap": 200
},
"typeVersion": 1
},
{
"id": "08742063-e235-4874-a128-b352786b19ce",
"name": "PDFドキュメント抽出",
"type": "n8n-nodes-base.extractFromFile",
"position": [
1240,
0
],
"parameters": {
"options": {},
"operation": "pdf"
},
"typeVersion": 1,
"alwaysOutputData": false
},
{
"id": "21f19360-d7ce-4106-ae5a-aa0f15b7c4aa",
"name": "OpenAI埋め込み",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
1600,
80
],
"parameters": {
"model": "text-embedding-3-small",
"options": {}
},
"credentials": {
"openAiApi": {
"id": "fLfRtaXbR0EVD0pl",
"name": "OpenAi account"
}
},
"typeVersion": 1
},
{
"id": "4147409f-8686-418f-b979-04f8c8e7fe42",
"name": "ファイルレコード2を作成",
"type": "n8n-nodes-base.supabase",
"position": [
1540,
-100
],
"parameters": {
"tableId": "files",
"fieldsUi": {
"fieldValues": [
{
"fieldId": "name",
"fieldValue": "={{ $('Loop Over Items').item.json.name }}"
},
{
"fieldId": "storage_id",
"fieldValue": "={{ $('Loop Over Items').item.json.id }}"
}
]
}
},
"credentials": {
"supabaseApi": {
"id": "t8AQJzvZvrOMDLec",
"name": "Supabase account My Airtable Gen"
}
},
"typeVersion": 1
},
{
"id": "016f1afe-172b-4609-b451-8d67609214d3",
"name": "条件分岐",
"type": "n8n-nodes-base.if",
"position": [
720,
-100
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "9b14e306-a04d-40f7-bc5b-b8eda8d8f7f2",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ \n !$('Aggregate').item.json.data || \n !Array.isArray($('Aggregate').item.json.data) || \n !$('Aggregate').item.json.data.some(item => \n item.storage_id === $('Loop Over Items').item.json.id \n ) \n}}",
"rightValue": ""
},
{
"id": "c3c0af88-9aea-4539-8948-1b69e601c27c",
"operator": {
"type": "string",
"operation": "notEquals"
},
"leftValue": "={{ $json.name }}",
"rightValue": ".emptyFolderPlaceholder"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "75e8a7db-8c4a-4ad8-b902-062cbc93e1eb",
"name": "すべてのファイルを取得",
"type": "n8n-nodes-base.supabase",
"position": [
20,
-100
],
"parameters": {
"tableId": "files",
"operation": "getAll"
},
"credentials": {
"supabaseApi": {
"id": "t8AQJzvZvrOMDLec",
"name": "Supabase account My Airtable Gen"
}
},
"typeVersion": 1,
"alwaysOutputData": true
},
{
"id": "b22a3bab-f615-4d8a-8832-ce25b1a385fe",
"name": "ダウンロード",
"type": "n8n-nodes-base.httpRequest",
"position": [
900,
-100
],
"parameters": {
"url": "=https://yqtvdcvjboenlblgcivl.supabase.co/storage/v1/object/private/{{ $json.name }}",
"options": {},
"authentication": "predefinedCredentialType",
"nodeCredentialType": "supabaseApi"
},
"credentials": {
"supabaseApi": {
"id": "t8AQJzvZvrOMDLec",
"name": "Supabase account My Airtable Gen"
}
},
"typeVersion": 4.2
},
{
"id": "50d1fede-4bd0-4cd4-b74a-7d689fe211cc",
"name": "アイテムをループ処理",
"type": "n8n-nodes-base.splitInBatches",
"position": [
560,
-100
],
"parameters": {
"options": {},
"batchSize": "=1"
},
"typeVersion": 3
},
{
"id": "f9c23b5e-0b40-4886-b54f-59fb46132d3f",
"name": "ワークフローをテストする場合",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-160,
-100
],
"parameters": {},
"typeVersion": 1
},
{
"id": "0a0ec290-2c3d-40ba-8d03-6abf75202e73",
"name": "集計",
"type": "n8n-nodes-base.aggregate",
"position": [
220,
-100
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1,
"alwaysOutputData": true
},
{
"id": "32b3e2e1-2d25-4dd1-93e8-3f693beb7b6f",
"name": "チャットメッセージ受信時",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
800,
-1020
],
"webhookId": "3c40d311-7996-4ed4-b2fa-c73bea5f4cf5",
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "79073b5c-a4ad-45a6-bbfa-e900a05bfde3",
"name": "OpenAIチャットモデル1",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
940,
-820
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "zJhr5piyEwVnWtaI",
"name": "OpenAi club"
}
},
"typeVersion": 1
},
{
"id": "f8663483-76d5-4fc8-ad07-7eec815ff7a6",
"name": "OpenAI埋め込み2",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
1020,
-540
],
"parameters": {
"model": "text-embedding-3-small",
"options": {}
},
"credentials": {
"openAiApi": {
"id": "SphXAX7rlwRLkiox",
"name": "Test club key"
}
},
"typeVersion": 1
},
{
"id": "a1458799-d379-46de-93e6-a5ba0c665163",
"name": "OpenAIチャットモデル2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1300,
-680
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "SphXAX7rlwRLkiox",
"name": "Test club key"
}
},
"typeVersion": 1
},
{
"id": "d6eeda2f-c984-406d-a625-726840308413",
"name": "ベクトルストアツール1",
"type": "@n8n/n8n-nodes-langchain.toolVectorStore",
"position": [
1100,
-820
],
"parameters": {
"name": "knowledge_base",
"topK": 8,
"description": "Retrieve data about user request"
},
"typeVersion": 1
},
{
"id": "e1d9a348-7d44-4ad1-adbd-2c9a31e06876",
"name": "スイッチ",
"type": "n8n-nodes-base.switch",
"position": [
1060,
-100
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "txt",
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{$binary.data?.fileExtension == undefined }}",
"rightValue": "txt"
}
]
},
"renameOutput": true
},
{
"outputKey": "pdf",
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "bf04cbec-dd86-4607-988f-4c96b6fd4b58",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{$binary.data.fileExtension }}",
"rightValue": "pdf"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.1
},
{
"id": "d38afb92-87ae-4e2a-a712-ec24b1efd105",
"name": "Supabaseベクトルストアに挿入",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
1700,
-100
],
"parameters": {
"mode": "insert",
"options": {
"queryName": "match_documents"
},
"tableName": {
"__rl": true,
"mode": "list",
"value": "documents",
"cachedResultName": "documents"
}
},
"credentials": {
"supabaseApi": {
"id": "t8AQJzvZvrOMDLec",
"name": "Supabase account My Airtable Gen"
}
},
"typeVersion": 1
},
{
"id": "1a903b2e-cab0-4798-b820-ec08d6a71ddd",
"name": "マージ",
"type": "n8n-nodes-base.merge",
"position": [
1380,
-100
],
"parameters": {},
"typeVersion": 3
},
{
"id": "3afd552e-4995-493e-9cd5-ef496dfe359f",
"name": "AIエージェント",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1020,
-1020
],
"parameters": {
"options": {}
},
"typeVersion": 1.7
},
{
"id": "d9688acc-311b-42fd-afa8-2c0e493be34b",
"name": "Supabaseベクトルストア",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
1020,
-660
],
"parameters": {
"options": {
"metadata": {
"metadataValues": [
{
"name": "file_id",
"value": "300b0128-0955-4058-b0d3-a9aefe728432"
}
]
}
},
"tableName": {
"__rl": true,
"mode": "list",
"value": "documents",
"cachedResultName": "documents"
}
},
"credentials": {
"supabaseApi": {
"id": "t8AQJzvZvrOMDLec",
"name": "Supabase account My Airtable Gen"
}
},
"typeVersion": 1
},
{
"id": "66df007c-0418-4551-950e-32e7d79840bd",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
340,
-220
],
"parameters": {
"height": 89.3775420487804,
"content": "### Replace Storage name, database ID and credentials."
},
"typeVersion": 1
},
{
"id": "b164b520-20dd-44a4-aa3b-647391786b20",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-20,
-220
],
"parameters": {
"height": 80,
"content": "### Replace credentials."
},
"typeVersion": 1
},
{
"id": "8688c219-5af4-4e54-9fd1-91851829445b",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1540,
-220
],
"parameters": {
"height": 80,
"content": "### Replace credentials."
},
"typeVersion": 1
},
{
"id": "45c6ece4-f849-4496-8149-31385f5e36a4",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
840,
-220
],
"parameters": {
"height": 89.3775420487804,
"content": "### Replace Storage name, database ID and credentials."
},
"typeVersion": 1
},
{
"id": "2ca07cb0-b5f4-4761-b954-faf2131872d9",
"name": "付箋4",
"type": "n8n-nodes-base.stickyNote",
"position": [
1500,
220
],
"parameters": {
"height": 80,
"content": "### Replace credentials."
},
"typeVersion": 1
},
{
"id": "8d682dae-6f88-42f0-a717-affffd37d882",
"name": "付箋5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1140,
-520
],
"parameters": {
"height": 80,
"content": "### Replace credentials."
},
"typeVersion": 1
},
{
"id": "796b5dca-d60e-43a9-afe8-194244643557",
"name": "付箋9",
"type": "n8n-nodes-base.stickyNote",
"position": [
-520,
-940
],
"parameters": {
"color": 7,
"width": 330.5152611046425,
"height": 239.5888196628349,
"content": "### ... or watch set up video [10 min]\n[](https://www.youtube.com/watch?v=glWUkdZe_3w)\n"
},
"typeVersion": 1
},
{
"id": "eba121de-a3f7-4ba5-8396-f7d64e648322",
"name": "付箋7",
"type": "n8n-nodes-base.stickyNote",
"position": [
-820,
-1460
],
"parameters": {
"color": 7,
"width": 636.2128494576581,
"height": 497.1532689930921,
"content": "\n## AI Agent To Chat With Files In Supabase Storage\n**Made by [Mark Shcherbakov](https://www.linkedin.com/in/marklowcoding/) from community [5minAI](https://www.skool.com/5minai-2861)**\n\nManually retrieving and analyzing specific information from large document repositories is time-consuming and inefficient. This workflow automates the process by vectorizing documents and enabling AI-powered interactions, making it easy to query and retrieve context-based information from uploaded files.\n\nThe workflow integrates Supabase with an AI-powered chatbot to process, store, and query text and PDF files. The steps include:\n- Fetching and comparing files to avoid duplicate processing.\n- Handling file downloads and extracting content based on the file type.\n- Converting documents into vectorized data for contextual information retrieval.\n- Storing and querying vectorized data from a Supabase vector store.\n\n"
},
"typeVersion": 1
},
{
"id": "df054036-d6b9-4f53-86cb-85ad96f07d0e",
"name": "付箋6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-820,
-940
],
"parameters": {
"color": 7,
"width": 280.2462120317618,
"height": 545.9087885077763,
"content": "### Set up steps\n\n1. **Fetch File List from Supabase**:\n - Use Supabase to retrieve the stored file list from a specified bucket.\n - Add logic to manage empty folder placeholders returned by Supabase, avoiding incorrect processing.\n\n2. **Compare and Filter Files**:\n - Aggregate the files retrieved from storage and compare them to the existing list in the Supabase `files` table.\n - Exclude duplicates and skip placeholder files to ensure only unprocessed files are handled.\n\n3. **Handle File Downloads**:\n - Download new files using detailed storage configurations for public/private access.\n - Adjust the storage settings and GET requests to match your Supabase setup.\n\n4. **File Type Processing**:\n - Use a Switch node to target specific file types (e.g., PDFs or text files).\n - Employ relevant tools to process the content:\n - For PDFs, extract embedded content.\n - For text files, directly process the text data.\n\n5. **Content Chunking**:\n - Break large text data into smaller chunks using the Text Splitter node.\n - Define chunk size (default: 500 tokens) and overlap to retain necessary context across chunks.\n\n6. **Vector Embedding Creation**:\n - Generate vectorized embeddings for the processed content using OpenAI's embedding tools.\n - Ensure metadata, such as file ID, is included for easy data retrieval.\n\n7. **Store Vectorized Data**:\n - Save the vectorized information into a dedicated Supabase vector store.\n - Use the default schema and table provided by Supabase for seamless setup.\n\n8. **AI Chatbot Integration**:\n - Add a chatbot node to handle user input and retrieve relevant document chunks.\n - Use metadata like file ID for targeted queries, especially when multiple documents are involved."
},
"typeVersion": 1
},
{
"id": "450a1e49-4be9-451a-9d05-2860e29c3695",
"name": "付箋8",
"type": "n8n-nodes-base.stickyNote",
"position": [
540,
-1160
],
"parameters": {
"color": 5,
"width": 951.7421645394404,
"height": 809.7437181509877,
"content": "## Scenario 2 - AI agent"
},
"typeVersion": 1
},
{
"id": "c3814c5d-8881-4598-897e-268019bee1bc",
"name": "付箋10",
"type": "n8n-nodes-base.stickyNote",
"position": [
-260,
-280
],
"parameters": {
"color": 5,
"width": 2304.723519246249,
"height": 739.2522526116408,
"content": "## Scenario 1 - Flow for adding new files from Supabase storage"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
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}よくある質問
このワークフローの使い方は?
上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。
このワークフローはどんな場面に適していますか?
上級 - エンジニアリング, DevOps, プロダクト, 人工知能, IT運用
有料ですか?
このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス(OpenAI APIなど)は別途料金が発生する場合があります。
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難易度
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ノード数33
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作成者
Mark Shcherbakov
@lowcodingdevI am a business analyst with a development background, dedicated to helping small businesses and entrepreneurs leverage cloud services for increased efficiency. My expertise lies in automating manual workflows, integrating data from multiple cloud service providers, creating insightful dashboards, and building custom CRM systems.
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