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Open Source LLMS Are They Any Good
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code-review-open-llms.json
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"output": "This is a comprehensive breakdown of the codebase, highlighting key components, functionalities, and potential areas for improvement. Here’s a more detailed analysis, categorized for clarity:\n\n**1. Core Architecture & Technologies:**\n\n* **React:** The foundation of the frontend, utilizing components and hooks for a modular design.\n* **TypeScript:** Promotes type safety and improves code maintainability.\n* **Tailwind CSS:** Provides a utility-first approach for styling, allowing for rapid UI development and customization.\n* **Lucide React:** Uses icons from the Lucide library, enhancing the UI.\n* **Supabase:** The backend of the application:\n * **PostgreSQL:** Database for storing transformation data, user information (if implemented), and potentially payment information (though Stripe handles payments directly).\n * **Edge Functions:** Serverless functions for:\n * **`stripe-webhook`:** Handles Stripe webhooks to process payments and update transformation status. 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Crucial for the initial image processing flow.\n* **`StatusIndicator.tsx`:** Displays the status of the transformation process (uploading, processing, complete, failed, etc.).\n* **`ArtworkDisplay.tsx`:** Shows the transformed image, providing options for download and sharing. This is where the user interacts with the final output.\n* **`ExamplesGallery.tsx`:** Provides previews of previous transformations, demonstrating the AI's capabilities.\n* **`PaymentStatus.tsx`:** A modal to display the result of the payment, allowing the user to confirm or cancel the purchase.\n* **`AdSpace.tsx`**: Displays promotional banners/ads, likely for monetization.\n\n**3. Workflow & Logic:**\n\n1. **Upload:** User uploads an image via the `UploadZone`.\n2. **AI Transformation:** The uploaded image is sent to the backend for transformation (using an external AI service – not implemented here).\n3. **Status Updates:** The `stripe-webhook` function receives payment confirmation from Stripe and updates the transformation status in the database.\n4. **Display Results:** The `ArtworkDisplay` component displays the transformed image, based on the current status. It also offers download and sharing options.\n5. **Payment Flow:** The `create-checkout-session` function initiates a Stripe Checkout session. The user completes the purchase through Stripe. The `stripe-webhook` then handles the payment processing and updates the transformation status.\n\n**4. Critical Code Areas & Considerations:**\n\n* **`stripe-webhook`:** This is the *most important* part of the entire system. It *must* be robust and properly configured to handle webhooks correctly. A single error here can cause significant problems.\n * **Signature Verification:** The code includes signature verification, which is essential for security.\n * **Event Handling:** It needs to correctly handle the `checkout.session.completed` event.\n * **Data Updates:** Correctly updates the `transformed_image_url` and `paid` fields in the database.\n* **Image Processing:** The AI image transformation itself is *not* implemented in this codebase. It's assumed to be handled by a third-party service.\n* **Error Handling:** The codebase lacks extensive error handling. More robust error handling should be added, especially in the `stripe-webhook` function.\n* **Security:** While the signature verification is good, there's no input sanitization or other security measures. Adding these will further strengthen the application.\n* **Scalability:** The current design might not be suitable for high volumes of transformations.\n\n**5. 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This is the core feature missing.\n* **User Accounts:** Implement user accounts for managing transformations and preferences.\n* **More Detailed Statuses:** Add more granular statuses to the transformation process (e.g., \"image processing started,\" \"image processing failed\").\n* **Logging:** Add detailed logging to help with debugging and monitoring.\n* **Caching:** Implement caching to improve performance.\n* **Queueing:** If the AI transformation is time-consuming, use a queueing system (e.g., Redis Queue) to handle transformations asynchronously.\n* **Previews/Thumbnails:** Generate thumbnails of the transformed images for faster loading.\n* **User Interface Enhancements:** Improve the UI/UX of the application.\n* **Mobile Responsiveness:** Ensure the application is responsive on mobile devices.\n\n**In summary, this is a well-structured and organized codebase, but it’s currently a *proof of concept*. The core missing piece is the AI image transformation functionality. 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"output": "This is a comprehensive breakdown of the codebase, identifying key components, their functionalities, and potential areas for improvement. Here's a categorized summary, along with suggestions for optimization and further development:\n\n**1. Core Architecture & Technologies:**\n\n* **React:** The frontend framework. Well-structured component-based architecture.\n* **TypeScript:** Strong typing provides benefits for maintainability and error prevention.\n* **Tailwind CSS:** Modern CSS framework for styling.\n* **Lucide React:** Excellent icon library.\n* **Supabase:** The core backend. Provides database, authentication, storage, and edge functions.\n* **Stripe:** For payment processing.\n* **Vite:** Fast build tool.\n\n**2. Key Components & Functionality:**\n\n* **`App.tsx`:** The main component, responsible for routing and overall application state. 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This is especially crucial in the `stripe-webhook/index.ts` function.\n* **UI/UX:**\n * **User Feedback:** Add more visual feedback during image processing (e.g., loading spinners).\n * **Clear Instructions:** Improve instructions for uploading images and understanding the process.\n * **Mobile Responsiveness:** Ensure the application is fully responsive on mobile devices.\n* **Image Processing:**\n * **Image Optimization:** Optimize images for web delivery (compression, resizing).\n * **AI Integration:** Implement the actual AI transformation logic. This is the core functionality. 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email_automations.json
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"Email": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Email', ``, 'string') }}",
"Phone": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Phone', ``, 'string') }}",
"Date": "={{ $now.format('yyyy-MM-dd h:m a') }}",
"Message": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Message', ``, 'string') }}"
},
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{
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{
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},
{
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{
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},
{
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],
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},
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}
}
},
{
"parameters": {
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"documentId": {
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"value": "https://docs.google.com/spreadsheets/d/165e9YpWep6xaUcgcv3-3VcjEJ5BqumO5Gs06DoDYZ8Q/edit?gid=1961660783#gid=1961660783",
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},
"sheetName": {
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"cachedResultName": "Leads",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/165e9YpWep6xaUcgcv3-3VcjEJ5BqumO5Gs06DoDYZ8Q/edit#gid=0"
},
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},
"type": "n8n-nodes-base.googleSheetsTool",
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"position": [
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],
"id": "c8ba2a89-2b25-430e-8e30-25c78d668a27",
"name": "get_existing_leads",
"credentials": {
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}
}
},
{
"parameters": {
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"toolDescription": "Get Existing Tasks to make sure it is not a duplicate",
"documentId": {
"__rl": true,
"value": "https://docs.google.com/spreadsheets/d/165e9YpWep6xaUcgcv3-3VcjEJ5BqumO5Gs06DoDYZ8Q/edit?gid=1961660783#gid=1961660783",
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},
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},
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},
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],
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"credentials": {
"googleSheetsOAuth2Api": {
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}
}
},
{
"parameters": {
"descriptionType": "manual",
"toolDescription": "Create a new Task",
"operation": "append",
"documentId": {
"__rl": true,
"value": "https://docs.google.com/spreadsheets/d/165e9YpWep6xaUcgcv3-3VcjEJ5BqumO5Gs06DoDYZ8Q/edit?gid=1961660783#gid=1961660783",
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},
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},
"columns": {
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"Notes": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Notes', ``, 'string') }}",
"Related Lead": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Related_Lead', ``, 'string') }}",
"Due Date": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Due_Date', ``, 'string') }}"
},
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{
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},
{
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{
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},
{
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],
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},
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},
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],
"id": "fdb327ad-f43b-46d4-8b9b-7b3baaef1ba4",
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"credentials": {
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}
}
},
{
"parameters": {
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"toolDescription": "Create a new Recipe from the URL",
"operation": "append",
"documentId": {
"__rl": true,
"value": "https://docs.google.com/spreadsheets/d/165e9YpWep6xaUcgcv3-3VcjEJ5BqumO5Gs06DoDYZ8Q/edit?gid=1961660783#gid=1961660783",
"mode": "url"
},
"sheetName": {
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"value": 744417427,
"mode": "list",
"cachedResultName": "Recipes",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/165e9YpWep6xaUcgcv3-3VcjEJ5BqumO5Gs06DoDYZ8Q/edit#gid=744417427"
},
"columns": {
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"value": {
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"TLDR": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('TLDR', ``, 'string') }}"
},
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{
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},
{
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},
{
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}
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},
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},
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],
"id": "c40806b5-3236-4636-9e65-8df3321cefa6",
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"credentials": {
"googleSheetsOAuth2Api": {
"id": "rWb3copWsrXALz2Z",
"name": "Google Sheets account 2"
}
}
},
{
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 6
}
]
}
},
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.2,
"position": [
-800,
-60
],
"id": "7ea2ca8b-d0bc-4fc2-bd79-c323daaa49f9",
"name": "Schedule Trigger"
},
{
"parameters": {
"fromEmail": "automations-example@dailyai.studio",
"toEmail": "bob@dailyai.studio",
"subject": "Your daliy update",
"emailFormat": "text",
"text": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Text', ``, 'string') }}",
"options": {}
},
"type": "n8n-nodes-base.emailSendTool",
"typeVersion": 2.1,
"position": [
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220
],
"id": "c426cc91-1b3a-4ef8-8716-fea7051965e9",
"name": "Send Email",
"webhookId": "5d1aa3cc-b1d6-40dc-87cb-8efc428c1ec6",
"credentials": {
"smtp": {
"id": "kYuzndvwAyWQieUf",
"name": "SMTP account"
}
}
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "1b3703a2-7b20-4cbe-9397-bcad65a8deb4",
"name": "chatInput",
"value": "=Look for our todo items due today and leads that came in yesterday and anything else to give us our daily report using the SMTP tool to send it as an email.\n\nToday is {{ $now }}",
"type": "string"
},
{
"id": "3608fa24-2aa0-4c63-bbb1-4d8ef0a02f4e",
"name": "sessionId",
"value": "=daily_message",
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},
{
"id": "605cf15c-01cc-4435-a904-499a77871d00",
"name": "drive_url",
"value": "https://docs.google.com/spreadsheets/d/165e9YpWep6xaUcgcv3-3VcjEJ5BqumO5Gs06DoDYZ8Q/edit?gid=1961660783#gid=1961660783",
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]
},
"options": {}
},
"type": "n8n-nodes-base.set",
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"position": [
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],
"id": "0629a43a-cea1-4d25-b0cf-7db1dff5f915",
"name": "Edit Fields1"
},
{
"parameters": {
"description": "Get Data from a URL",
"workflowId": {
"__rl": true,
"value": "CpQCnPqBUEZcho8l",
"mode": "list",
"cachedResultName": "scrape-site"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {
"url": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('url', ``, 'string') }}"
},
"matchingColumns": [
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],
"schema": [
{
"id": "url",
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}
],
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}
},
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
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],
"id": "380b164e-3cab-4c90-b065-f7d0d5d1e41c",
"name": "scrape_url"
},
{
"parameters": {
"model": "qwen3:8b",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOllama",
"typeVersion": 1,
"position": [
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340
],
"id": "c77da2fa-d25e-4414-9460-1406655c67cf",
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"credentials": {
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}
}
},
{
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"documentId": {
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},
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"cachedResultUrl": "https://docs.google.com/spreadsheets/d/165e9YpWep6xaUcgcv3-3VcjEJ5BqumO5Gs06DoDYZ8Q/edit#gid=744417427"
},
"options": {}
},
"type": "n8n-nodes-base.googleSheetsTool",
"typeVersion": 4.6,
"position": [
740,
280
],
"id": "e5d705c7-8103-4dc3-9bfb-c56858ff8129",
"name": "get_recipes",
"credentials": {
"googleSheetsOAuth2Api": {
"id": "rWb3copWsrXALz2Z",
"name": "Google Sheets account 2"
}
}
}
],
"pinData": {
"Email Trigger (IMAP)": [
{
"json": {
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"textPlain": "the url is https://simplerecipes.io/recipes/51",
"metadata": {
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},
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},
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"from": "bob@dailyai.studio",
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}
]
},
"connections": {
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"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[]
]
},
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"add_leads_to_sheets": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
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}
]
]
},
"get_existing_leads": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"get_existing_tasks": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"add_tasks": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"add_recipe": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Send Email": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "Edit Fields1",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields1": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"scrape_url": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Ollama Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
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}
]
]
},
"get_recipes": {
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[
{
"node": "AI Agent",
"type": "ai_tool",
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}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "78792e57-cc9c-41b6-aafc-2d5521b9832e",
"meta": {
"templateCredsSetupCompleted": true,
"instanceId": "b77b374d91a001765a8bf2832badc1f8fcc5407c99c4c6f3f68d6413d663ef83"
},
"id": "NXy32prxhEOHUzBe",
"tags": [
{
"createdAt": "2025-07-11T16:04:59.120Z",
"updatedAt": "2025-07-11T16:04:59.120Z",
"id": "JVFrlEXRhFpKH26X",
"name": "testing"
}
]
}
Raw
process-assets.json
{
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "process/assets",
"options": {}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
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-80
],
"id": "c1d25c79-cb03-4186-8a06-6546cc6e68f3",
"name": "ProcessAssets",
"webhookId": "4b84c2f9-7beb-4cf0-a946-a90558c503c2"
},
{
"parameters": {
"url": "=https://cfvrauuiniospijccuzg.supabase.co/storage/v1/object/project-files/{{ $json.body.record.file_path }}",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "supabaseApi",
"options": {}
},
"type": "n8n-nodes-base.httpRequest",
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],
"id": "088c5fdb-c866-43c7-8a60-a2477a2c9ecd",
"name": "HTTP Request",
"credentials": {
"supabaseApi": {
"id": "263xXnCQ57LLBu5F",
"name": "Production"
}
}
},
{
"parameters": {
"mode": "insert",
"tableName": {
"__rl": true,
"value": "documents",
"mode": "list",
"cachedResultName": "documents"
},
"options": {
"queryName": "hybrid_search"
}
},
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
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"position": [
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],
"id": "ed40d716-b0ac-4fa9-a9f0-2b2898a33d11",
"name": "Supabase Vector Store",
"credentials": {
"supabaseApi": {
"id": "263xXnCQ57LLBu5F",
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}
}
},
{
"parameters": {
"dataType": "binary",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
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"position": [
180,
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],
"id": "64eb229d-3eb4-4229-b86c-de51074f64eb",
"name": "Default Data Loader"
},
{
"parameters": {
"model": "nomic-embed-text:latest"
},
"type": "@n8n/n8n-nodes-langchain.embeddingsOllama",
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"position": [
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],
"id": "691c9c2d-4b06-41c8-8b42-520cf22cfe23",
"name": "Embeddings Ollama",
"credentials": {
"ollamaApi": {
"id": "9AOxA7OBSIn1RCAg",
"name": "Ollama Office"
}
}
},
{
"parameters": {
"options": {
"systemMessage": "Your role is to use the hybrid_search tool passing in the users query to help return values from the database of all the data we have stored"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
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"position": [
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360
],
"id": "f7ca66ad-4d7f-440f-9865-9aaa4eeb90f3",
"name": "AI Agent"
},
{
"parameters": {
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},
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
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"position": [
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360
],
"id": "8d61b011-f52a-496e-8657-e8c605a270c1",
"name": "When chat message received",
"webhookId": "9c2be0a6-bf5f-4a0c-bc88-1fee8ec3065d"
},
{
"parameters": {
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"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOllama",
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"position": [
-140,
600
],
"id": "84b57cfd-9316-49da-8de6-8a855e5f858b",
"name": "Ollama Chat Model1",
"credentials": {
"ollamaApi": {
"id": "9AOxA7OBSIn1RCAg",
"name": "Ollama Office"
}
}
},
{
"parameters": {
"description": "This is key to any query the user makes that is clearly not a chat question but a question related to content we have in the system",
"workflowId": {
"__rl": true,
"value": "fKIekZgRZbfAA6bP",
"mode": "list",
"cachedResultName": "hyrbid-query"
},
"workflowInputs": {
"mappingMode": "defineBelow",
"value": {
"query": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('query', ``, 'string') }}"
},
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