Agent IA qui dialogue avec les fichiers de Supabase Storage
Avancé
Ceci est unEngineering, DevOps, Product, AI, IT Opsworkflow d'automatisation du domainecontenant 33 nœuds.Utilise principalement des nœuds comme If, Merge, Switch, Supabase, Aggregate, combinant la technologie d'intelligence artificielle pour une automatisation intelligente. 与Supabase存储中文件对话deAIintelligent体
Prérequis
- •URL et Clé API Supabase
- •Peut nécessiter les informations d'identification d'authentification de l'API cible
- •Clé API OpenAI
Nœuds utilisés (33)
Aperçu du workflow
Visualisation des connexions entre les nœuds, avec support du zoom et du déplacement
Exporter le workflow
Copiez la configuration JSON suivante dans n8n pour importer et utiliser ce workflow
{
"meta": {
"instanceId": "6a2a7715680b8313f7cb4676321c5baa46680adfb913072f089f2766f42e43bd"
},
"nodes": [
{
"id": "f577f6bd-b1a4-48ec-9329-7bccc3fc1463",
"name": "Obtenir tous les fichiers",
"type": "n8n-nodes-base.httpRequest",
"position": [
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],
"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
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{
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"name": "Chargeur de données par défaut",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
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"parameters": {
"options": {
"metadata": {
"metadataValues": [
{
"name": "=file_id",
"value": "={{ $json.id }}"
}
]
}
},
"jsonData": "={{ $('Merge').item.json.data ?? $('Merge').item.json.text }}",
"jsonMode": "expressionData"
},
"typeVersion": 1
},
{
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"name": "Séparateur de texte récursif",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
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"parameters": {
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},
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{
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{
"id": "4147409f-8686-418f-b979-04f8c8e7fe42",
"name": "Créer un enregistrement de fichier2",
"type": "n8n-nodes-base.supabase",
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"parameters": {
"tableId": "files",
"fieldsUi": {
"fieldValues": [
{
"fieldId": "name",
"fieldValue": "={{ $('Loop Over Items').item.json.name }}"
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{
"fieldId": "storage_id",
"fieldValue": "={{ $('Loop Over Items').item.json.id }}"
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"parameters": {
"options": {},
"batchSize": "=1"
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{
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"name": "Lors du clic sur 'Tester le workflow'",
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"credentials": {
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"id": "SphXAX7rlwRLkiox",
"name": "Test club key"
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"name": "Outil Vector Store1",
"type": "@n8n/n8n-nodes-langchain.toolVectorStore",
"position": [
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"parameters": {
"name": "knowledge_base",
"topK": 8,
"description": "Retrieve data about user request"
},
"typeVersion": 1
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{
"id": "e1d9a348-7d44-4ad1-adbd-2c9a31e06876",
"name": "Commutateur",
"type": "n8n-nodes-base.switch",
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"parameters": {
"rules": {
"values": [
{
"outputKey": "txt",
"conditions": {
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"caseSensitive": true,
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"conditions": [
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"operator": {
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"leftValue": "={{$binary.data?.fileExtension == undefined }}",
"rightValue": "txt"
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"name": "Insérer dans Supabase Vectorstore",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
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"parameters": {
"mode": "insert",
"options": {
"queryName": "match_documents"
},
"tableName": {
"__rl": true,
"mode": "list",
"value": "documents",
"cachedResultName": "documents"
}
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"credentials": {
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"id": "t8AQJzvZvrOMDLec",
"name": "Supabase account My Airtable Gen"
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"metadata": {
"metadataValues": [
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"name": "file_id",
"value": "300b0128-0955-4058-b0d3-a9aefe728432"
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"content": "### Replace Storage name, database ID and credentials."
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"content": "### ... or watch set up video [10 min]\n[](https://www.youtube.com/watch?v=glWUkdZe_3w)\n"
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"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
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"parameters": {
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"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."
},
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"name": "Note adhésive8",
"type": "n8n-nodes-base.stickyNote",
"position": [
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"parameters": {
"color": 5,
"width": 951.7421645394404,
"height": 809.7437181509877,
"content": "## Scenario 2 - AI agent"
},
"typeVersion": 1
},
{
"id": "c3814c5d-8881-4598-897e-268019bee1bc",
"name": "Note adhésive10",
"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"color": 5,
"width": 2304.723519246249,
"height": 739.2522526116408,
"content": "## Scenario 1 - Flow for adding new files from Supabase storage"
},
"typeVersion": 1
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},
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"ai_textSplitter": [
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}Foire aux questions
Comment utiliser ce workflow ?
Copiez le code de configuration JSON ci-dessus, créez un nouveau workflow dans votre instance n8n et sélectionnez "Importer depuis le JSON", collez la configuration et modifiez les paramètres d'authentification selon vos besoins.
Dans quelles scénarios ce workflow est-il adapté ?
Avancé - Ingénierie, DevOps, Produit, Intelligence Artificielle, Opérations IT
Est-ce payant ?
Ce workflow est entièrement gratuit et peut être utilisé directement. Veuillez noter que les services tiers utilisés dans le workflow (comme l'API OpenAI) peuvent nécessiter un paiement de votre part.
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Informations sur le workflow
Niveau de difficulté
Avancé
Nombre de nœuds33
Catégorie5
Types de nœuds18
Description de la difficulté
Auteur
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.
Liens externes
Voir sur n8n.io →
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