Can OpenAI connect with Supabase?

Yes, OpenAI can connect with Supabase using n8n.io. With n8n, you can create workflows that automate tasks and transfer data between OpenAI and Supabase. Configure nodes for OpenAI and Supabase in the n8n interface, specifying actions and triggers to set up their connection.

Can I use OpenAI’s API with n8n?

Yes, with n8n, you can programmatically interact with OpenAI’s API via pre-defined supported actions or raw HTTP requests. With the HTTP Request node, you create a REST API call. You need to understand basic API terminology and concepts.

Can I use Supabase’s API with n8n?

Yes, with n8n, you can programmatically interact with Supabase’s API via pre-defined supported actions or raw HTTP requests. With the HTTP Request node, you create a REST API call. You need to understand basic API terminology and concepts.

Is n8n secure for integrating OpenAI and Supabase?

Yes, it is safe to use n8n to integrate OpenAI and Supabase. n8n offers various features to ensure the safe handling of your data. These include encrypted data transfers, secure credential storage, RBAC functionality, and compliance with industry-standard security practices (SOC2 compliant). For hosted plans, data is stored within the EU on servers located in Frankfurt, Germany. You can also host it on your own infrastructure for added control. Learn more about n8n’s security practices here.

How to get started with OpenAI and Supabase integration in n8n.io?

To start integrating OpenAI and Supabase in n8n, you have different options depending on how you intend to use it: n8n Cloud: hosted solution, no need to install anything. Self-host: recommended method for full-control or customized use cases. Unlike other platforms that charge per operation, step, or task, n8n charges only for full workflow executions. This approach guarantees predictable costs and scalability, no matter the complexity or volume of your workflows.

OpenAI and Supabase: Automate Workflows with n8n

How to connect OpenAI and Supabase

Step 1: Create a new workflow
Step 2: Add and configure nodes
Step 3: Connect
Step 4: Customize and extend your integration
Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

OpenAI and Supabase integration: Create a new workflow and add the first step

Step 2: Add and configure OpenAI and Supabase nodes

You can find OpenAI and Supabase in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure OpenAI and Supabase nodes one by one: input data on the left, parameters in the middle, and output data on the right.

OpenAI and Supabase integration: Add and configure OpenAI and Supabase nodes

Step 3: Connect OpenAI and Supabase

A connection establishes a link between OpenAI and Supabase (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

OpenAI and Supabase integration: Connect OpenAI and Supabase

Step 4: Customize and extend your OpenAI and Supabase integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect OpenAI and Supabase with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

OpenAI and Supabase integration: Customize and extend your OpenAI and Supabase integration

Step 5: Test and activate your OpenAI and Supabase workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from OpenAI to Supabase or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

OpenAI and Supabase integration: Test and activate your OpenAI and Supabase workflow

AI agent for realtime insights on meetings

Video Guide

I prepared a detailed guide explaining how to build an AI-powered meeting assistant that provides real-time transcription and insights during virtual meetings.

Youtube Link

Who is this for?
This workflow is ideal for business professionals, project managers, and team leaders who require effective transcription of meetings for improved documentation and note-taking. It's particularly beneficial for those who conduct frequent virtual meetings across various platforms like Zoom and Google Meet.

What problem does this workflow solve?
Transcribing meetings manually can be tedious and prone to error. This workflow automates the transcription process in real-time, ensuring that key discussions and decisions are accurately captured and easily accessible for later review, thus enhancing productivity and clarity in communications.

What this workflow does
The workflow employs an AI-powered assistant to join virtual meetings and capture discussions through real-time transcription. Key functionalities include:
Automatic joining of meetings on platforms like Zoom, Google Meet, and others with the ability to provide real-time transcription.
Integration with transcription APIs (e.g., AssemblyAI) to deliver seamless and accurate capture of dialogue.
Structuring and storing transcriptions efficiently in a database for easy retrieval and analysis.

Real-Time Transcription: The assistant captures audio during meetings and transcribes it in real-time, allowing participants to focus on discussions.
Keyword Recognition: Key phrases can trigger specific actions, such as noting important points or making prompts to the assistant.
Structured Data Management: The assistant maintains a database of transcriptions linked to meeting details for organized storage and quick access later.

Setup

Preparation

Create Recall.ai API key
Setup Supabase account and table
create table
public.data (
id uuid not null default gen_random_uuid (),
date_created timestamp with time zone not null default (now() at time zone 'utc'::text),
input jsonb null,
output jsonb null,
constraint data_pkey primary key (id),
) tablespace pg_default;

Create OpenAI API key

Development

Bot Creation:
Use a node to create the bot that will join meetings. Provide the meeting URL and set transcription options within the API request.

Authentication:
Configure authentication settings via a Bearer token for interacting with your transcription service.

Webhook Setup:
Create a webhook to receive real-time transcription updates, ensuring timely data capture during meetings.

Join Meeting:
Set the bot to join the specified meeting and actively listen to capture conversations.

Transcription Handling:
Combine transcription fragments into cohesive sentences and manage dialog arrays for coherence.

Trigger Actions on Keywords:
Set up keyword recognition that can initiate requests to the OpenAI API for additional interactions based on captured dialogue.

Output and Summary Generation:
Produce insights and summary notes from the transcriptions that can be stored back into the database for future reference.

Nodes used in this workflow

Popular OpenAI and Supabase workflows

AI-Powered Lead Generation with Apollo, GPT-4, and Telegram to Database

AI-Powered Lead Generation with Apollo, GPT-4, and Telegram to Database Overview This intelligent lead generation workflow transforms voice commands or text input into verified prospect lists through automated Apollo.io scraping. The system processes natural language requests, extracts search parameters using AI, and delivers clean, verified contact data directly to your database. Key Features 🎤 Voice & Text Input Processing Voice Recognition**: Converts audio messages to text using OpenAI's transcription API Natural Language Processing**: AI agent interprets requests and extracts search criteria Flexible Input**: Supports both voice commands and text messages 🔍 Smart Lead Scraping Apollo.io Integration**: Automated scraping using official Apollo.io API Dynamic URL Generation**: Builds search URLs based on extracted parameters Intelligent Parsing**: Processes location, industry, and job title criteria ✅ Email Verification & Filtering Verified Emails Only**: Filters results to include only verified email addresses Duplicate Prevention**: Compares against existing database to avoid duplicates Data Quality Control**: Ensures high-quality prospect data 📊 Automated Data Management Database Integration**: Automatic storage in PostgreSQL/Supabase Structured Data**: Organizes contacts with complete profile information Real-time Updates**: Instant database updates with new prospects How It Works Input Processing: Receive voice message or text command AI Analysis: Extract search parameters (location, industry, job titles) URL Construction: Build Apollo.io search URL with extracted criteria Data Scraping: Retrieve prospect data via Apollo.io API Email Verification: Filter for verified email addresses only Duplicate Check: Compare against existing database records Data Storage: Save new prospects to database Confirmation: Send success notification with count of new leads Supported Search Parameters Location**: City, state, country combinations Industry**: Business sectors and verticals Job Titles**: Executive roles, departments, seniority levels Company Size**: Organization scale and employee count Data Fields Extracted Contact Information First Name & Last Name Email Address (verified only) LinkedIn Profile URL Phone Number (when available) Professional Details Current Job Title Company Name Industry Seniority Level Employment History Location Data City & State Country Full Location String Company Information Website URL Business Industry Organization Details Technical Architecture Core Components n8n Workflow Engine**: Orchestrates the entire process OpenAI Integration**: Powers voice transcription and AI analysis Apollo.io API**: Source for prospect data PostgreSQL/Supabase**: Database storage and management API Integrations OpenAI Whisper API for voice transcription OpenAI GPT for natural language processing Apollo.io API for lead data retrieval Supabase API for database operations Use Cases Sales Teams Quickly build prospect lists for outreach campaigns Target specific industries or job roles Maintain clean, verified contact databases Marketing Professionals Generate targeted lead lists for campaigns Research prospects in specific markets Build comprehensive contact databases Business Development Identify potential partners or clients Research competitive landscapes Generate contact lists for networking Recruitment Find candidates in specific locations Target particular job roles or industries Build talent pipeline databases Benefits ⚡ Speed & Efficiency Voice commands for instant lead generation Automated processing eliminates manual work Batch processing for large prospect lists 🎯 Precision Targeting AI-powered parameter extraction Flexible search criteria combinations Industry and role-specific filtering 📈 Data Quality Verified email addresses only Duplicate prevention Structured, consistent data format 🔄 Automation End-to-end automated workflow Real-time database updates Instant confirmation notifications Setup Requirements Prerequisites n8n workflow platform OpenAI API access Apollo.io API credentials PostgreSQL or Supabase database Messaging platform integration Configuration Steps Import workflow into n8n Configure API credentials Set up database connections Customize search parameters Test with sample voice/text input Customization Options Search Parameters Modify location formats Add custom industry categories Adjust job title variations Set result limits Data Processing Customize field mappings Add data validation rules Implement additional filters Configure output formats Integration Options Connect to CRM systems Add email marketing tools Integrate with sales platforms Export to various formats Success Metrics Processing Speed**: Voice-to-database in under 30 seconds Data Accuracy**: 95%+ verified email addresses Automation Level**: 100% hands-free operation Scalability**: Process 500+ leads per request Transform your lead generation process with intelligent automation that understands natural language and delivers verified prospects directly to your database.

Company Knowledge Base Agent (RAG)

Overview Turn your docs into an AI-powered internal or public-facing assistant. This chatbot workflow uses RAG (Retrieval-Augmented Generation) with Supabase vector search to answer employee or customer questions based on your company documents—automatically updated via Google Drive. Whether it’s deployed in Telegram or embedded on your website, this agent supports voice and text input, transcribes voice messages, pulls relevant context from your internal files, and responds with a helpful, AI-generated answer. Two additional workflows listen for file changes in a shared Google Drive folder, convert them into embeddings using OpenAI, and sync them with your Supabase vector DB—so your knowledge base is always up to date. Who’s it for Startups building an internal ops or HR assistant SaaS companies deploying help bots on their websites Customer support teams reducing repetitive questions Knowledge-driven teams needing internal AI assistants How it works Triggered via Telegram bot (or easily swapped for website chatbot or “on chat message”) If user sends a voice message, it’s transcribed to text using OpenAI Whisper Input is passed to a RAG agent that: Searches a Supabase vector store for relevant docs Pulls context from matching chunks using OpenAI embeddings Responds with an LLM-powered answer The response is sent back as a Telegram message Two separate workflows: New File Workflow: Listens for file uploads in Google Drive, extracts and splits text, then sends to Supabase with embeddings Update File Workflow: Detects file edits, deletes old rows, and updates embeddings for the revised file Example use case > You upload your internal policy docs and client FAQs into a Google Drive folder. > > Employees or customers can now ask: > - “What’s the refund policy for annual plans?” > - “How do I request a day off?” > - “What tools are approved for use by the engineering team?” > > The chatbot instantly pulls up the right section and responds with a smart, confident answer. How to set up Connect a Telegram bot or use n8n’s webchat / chatbot widget Hook up OpenAI for transcription, embeddings, and completion Set up a Supabase project and connect it as a vector store Upload your internal docs to Google Drive Deploy the “Add File” and “Update File” automations to manage embedding sync Customize the chatbot’s tone and personality with prompt tweaks Requirements Telegram bot (or n8n Chat widget) Google Drive integration Supabase with pgvector or similar enabled OpenAI API key (Whisper, Embeddings, ChatGPT) Two folders: one for raw documents and one for tracking updates How to customize Swap Supabase for Pinecone, Weaviate, or Qdrant Replace Telegram with web chat, Slack, Intercom, or Discord Add logic to handle fallback answers or escalate to human Embed the chat widget on your site for public customer use Add filters (e.g. department, date, author) to narrow down context

Reddit Monitoring with AI Sentiment Analysis and Growth Insights Dashboard

This template gives you a complete, automated system for monitoring Reddit and extracting growth insights. It tracks discussions across target subreddits, surfaces what users love, dislike, want changed, and highlights how they compare you to competitors. Paired with the free WeWeb UI template, it prioritizes engagement and organizes everything into a clean, easy-to-use dashboard. So every team gets the insights they need: Leadership** gains clarity on industry trends and emerging shifts Product** can adjust roadmaps and prioritize features or integrations Marketing** gets content angles, competitive messaging, and SEO topics Sales** receives objection insights straight from real conversations Support** spots early patterns in user challenges 🙌 Who this is for Perfect for product teams, founders, and growth marketers who want to build and scale Reddit as a channel without spending hours manually scanning threads. 💫 What Makes This Different Eliminates manual scanning:** Automatically pull product and competitor mentions using F5Bot for free, without the high cost of traditional monitoring tools. Captures full conversations:** Track not just posts, but the entire comment chain where real insights, objections, and frustrations actually surface. AI-powered prioritization:** Every mention is classified by sentiment and topic so you know what to prioritize and why. Cross-team intelligence:** Highlights product insights, competitor signals, sales objections, user frustrations, and industry trends, helping product, marketing, sales, support, and leadership make more customer-centric decisions. ⚙️ How the Workflow Works A cron job runs every hour and scans your Gmail inbox for new F5Bot alert emails. When an alert is found, the workflow extracts all mention data from the email. An AI node processes each mention to: categorize it by topic tag sentiment All data is stored in Supabase. The data is displayed in a WeWeb dashboard where users can browse mentions. If a user wants deeper context, they click “AI Summary.” This triggers a webhook in n8n, which pulls the main Reddit post and its entire comment chain. The AI node summarizes the full thread and highlights: the core discussion competitor comparisons what users like or dislike industry-level signals The workflow returns a clean, actionable summary back to the WeWeb UI. 🧪 Requirements You don’t need any heavy infrastructure. To get started, you’ll need: F5Bot account (free)** - to track Reddit mentions by keywords and trigger email alerts Gmail integration** - so the workflow can parse emails from F5Bot OpenAI API key** - for AI-powered categorization and summarization Supabase project (free)** - to store all mention data WeWeb account (free)** - connects your n8n workflow to a clean, user-friendly dashboard for viewing insights Here's a detailed setup guide. 🔧 Want to Go Further? This setup is beginner-friendly, but you can extend it with: Blog topic generation Full blog post generation Social media posts Competitor benchmarking reports Weekly or monthly email digests Slack alerts for high-signal mentions

Extract Email Tasks with Gmail, ChatGPT-4o and Supabase

📩 Gmail → GPT → Supabase | Task Extractor This n8n workflow automates the extraction of actionable tasks from unread Gmail messages using OpenAI's GPT API, stores the resulting task metadata in Supabase, and avoids re-processing previously handled emails. ✅ What It Does Triggers on a schedule to check for unread emails in your Gmail inbox. Loops through each email individually using SplitInBatches. Checks Supabase to see if the email has already been processed. If it's a new email: Formats the email content into a structured GPT prompt Calls ChatGPT-4o to extract structured task data Inserts the result into your emails table in Supabase 🧰 Prerequisites Before using this workflow, you must have: An active n8n Cloud or self-hosted instance A connected Gmail account with OAuth credentials in n8n A Supabase project with an emails table and: ALTER TABLE emails ADD CONSTRAINT unique_email_id UNIQUE (email_id); An OpenAI API key with access to GPT-4o or GPT-3.5-turbo 🔐 Required Credentials | Name | Type | Description | |-----------------|------------|-----------------------------------| | Gmail OAuth | Gmail | To pull unread messages | | OpenAI API Key | OpenAI | To generate task summaries | | Supabase API | HTTP | For inserting rows via REST API | 🔁 Environment Variables or Replacements Supabase_TaskManagement_URI → e.g., https://your-project.supabase.co Supabase_TaskManagement_ANON_KEY → Your Supabase anon key These are used in the HTTP request to Supabase. ⏰ Scheduling / Trigger Triggered using a Schedule node Default: every X minutes (adjust to your preference) Uses a Gmail API filter: unread emails with label = INBOX 🧠 Intended Use Case > Designed for productivity-minded professionals who want to extract, summarize, and store actionable tasks from incoming email — without processing the same email twice or wasting GPT API credits. This is part of a larger system integrating GPT, calendar scheduling, and optional task platforms (like ClickUp). 📦 Output (Stored in Supabase) Each processed email includes: email_id subject sender received_at body (email snippet) gpt_summary (structured task) requires_deep_work (from GPT logic) deleted (initially false)

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🤖 AI Restaurant Assistant for WhatsApp, Instagram & Messenger

Hi, I’m Amanda! 💌 This workflow was created with so much love, care, and attention… especially for you, who runs a restaurant, a cozy little burger place, or a delivery business full of heart. 🥰 I know how busy your days can be, so I made this sweet AI assistant to help you take care of your customers on WhatsApp, Instagram, Messenger (or Evolution API). It sends your beautiful menu, checks ZIP codes, creates payment links, and even notifies the kitchen when the order is ready. All gentle, all automatic, all with love. 💛 💡 What this workflow does Replies to customers via WhatsApp API, Instagram Direct, Messenger, and Evolution API Checks ZIP codes to see if delivery is available using Google Maps Sends your menu as images, because food should look as good as it tastes 🍕 Collects item selections and offers lovely upsells like drinks or extras Creates payment links with the Asaas API Confirms when the payment is complete and sends the order to the kitchen Stores all messages and session data safely in Supabase Uses OpenAI GPT-4o to talk naturally and kindly with your customers ⚙️ How to set it up (I’ll guide you with care 🧸) Connect your webhook from WhatsApp, Instagram, Messenger, or Evolution API Create a Supabase table called n8n_workflow_followup You can use this ready-made template here: 👉 Supabase Sheet Template Add your API keys (OpenAI, Supabase, Google Maps, and Asaas) securely in n8n Customize the AI prompt with your brand’s voice and sweet style 💫 Set your delivery radius (default is 10km, but you can change it!) Upload your menu images (from Google Drive, your website, or any link) That’s it! Your assistant is now ready to serve with kindness and automation 💕 🍯 Works with: ✅ n8n Cloud and Self-Hosted n8n 🔐 All API credentials are safely stored using n8n’s secure credential manager Want something customized just for you? Chat with me, I’d love to help 💻💛 Chat via WhatsApp (+55 17 99155-7874) . . . Tradução em Português: Oi, eu sou a Amanda! 💌 Esse workflow foi feito com muito carinho, dedicação e cuidado... pensando especialmente em você, que tem um restaurante, lanchonete ou delivery cheio de amor pelo que faz. 🥰 Eu sei como o dia a dia pode ser corrido, e foi por isso que eu criei esse atendente com IA: pra te ajudar a responder clientes no WhatsApp, Instagram, Messenger (ou Evolution API), enviar cardápio com imagens lindas, calcular entregas, gerar links de pagamento e até avisar a cozinha. Tudo com jeitinho, sem complicação, e com muito coração. 💛 💡 O que esse fluxo faz Atende clientes pelo WhatsApp API, Instagram Direct, Messenger e Evolution API Valida CEP e calcula se o cliente está dentro da área de entrega (usando Google Maps) Envia cardápio com imagens, porque comer começa pelos olhos 🍕 Coleta os pedidos e também oferece bebidas e adicionais Gera link de pagamento automaticamente com a API do Asaas Confirma o pagamento e avisa a cozinha quando estiver tudo certo Armazena mensagens, horários e histórico no Supabase Usa o GPT-4o da OpenAI pra conversar de forma educada e natural com seus clientes ⚙️ Como configurar (com meu passo a passo cheio de cuidado 🧸) Conecte seu webhook do WhatsApp, Instagram, Messenger ou Evolution API Crie uma tabela no Supabase chamada n8n_workflow_followup Você pode usar esse modelo aqui: 👉 Planilha modelo Supabase Adicione suas chaves de API do OpenAI, Google Maps, Supabase e Asaas no gerenciador do n8n Personalize o prompt da IA com o nome do seu restaurante, estilo de fala e sua magia 💫 Defina a distância máxima de entrega (padrão: 10km) Coloque seus próprios links de imagens do cardápio (pode ser do Drive, site ou CDN) Prontinho! Agora o seu restaurante tem um atendente inteligente, gentil e muito eficiente 💕 🍯 Funciona com: ✅ n8n Cloud e n8n auto-hospedado 🔐 E suas credenciais ficam guardadinhas com segurança no próprio n8n, tá bom? Quer algo feito especialmente pra você? Fala comigo com todo carinho 💻💛 Falar no WhatsApp (+55 17 99155-7874)

AI Personal Assistant with GPT-4o, RAG & Voice for WhatsApp using Supabase

🧠 Intelligent AI Assistant with RAG & Voice for WhatsApp – Built with GPT-4o & Supabase 📌 About this workflow and its creator 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 special to me – a truly advanced AI assistant that reads, listens, interprets and responds like a real human 🤖✨ This ready-to-use workflow acts as a powerful AI personal assistant capable of understanding messages via voice, text, documents, or even images. It supports full multi-channel operation (WhatsApp via Evolution API, Instagram, Facebook, and more), and includes advanced RAG capabilities using Supabase + GPT-4o. It’s designed to be highly extensible, with memory, prompt update tools, and knowledge base management. ⚙️ What this workflow does 💬 Understands user input via text, document, audio or image (voice, OCR, PDF) 🎤 Transcribes and interprets voice messages using OpenAI Whisper 🧠 Understands prompts and user commands using GPT-4o via LangChain agent 🗂️ Searches knowledge base using RAG + Supabase vector DB 📄 Accepts documents and automatically indexes them for future questions 🧾 Summarizes documents and stores metadata in Supabase 🗃️ Offers memory support (PostgreSQL chat memory per user session) 📧 Sends replies through WhatsApp (Evolution API), Instagram, Facebook, etc. 📅 Manages schedules (via tool integration with Google Calendar) 📬 Sends and searches emails (with support tools) 🛠 Modular and expandable structure (tools for saving knowledge, deleting, updating prompt) 🔧 Setup Instructions n8n Hosting This workflow requires n8n self-hosted (or n8n Cloud with custom credentials + community nodes enabled). Create required databases Use the provided SQL queries inside the setar_supabase_tabelas_vectoriais, criar_cerebro, and criar_rag_controle nodes to initialize: documents table for RAG cerebro table for prompt memoria_chat for session memory rag_controle for summaries and indexing Credentials needed OpenAI API (for chat, embeddings and Whisper transcription) Redis (for managing message buffer) Supabase (for vector store + metadata) Postgres (for memory and prompts) Evolution API (or other messaging platforms) Webhook Set the webhook path to receive messages from your Evolution or WhatsApp API provider. Configure ‘Set’ node In the config node, adjust: adminNumero: your personal WhatsApp or admin number evolutionApiKey: your private API key utilizacaoApenasViaAdmin: toggle if this should only respond to admin numbers Tool connections Ensure the supporting workflows are also imported and connected for: Emails Knowledge management Calendar events 📎 Notes This workflow uses LangChain agents, OpenAI GPT-4o, Supabase, Redis, and PostgreSQL. It includes multiple “sticky notes” inside the workflow with explanations. Ideal for businesses, consultants, and developers looking to offer an intelligent and extendable AI chatbot experience. 🛍 Want to use this on your system? ❤️ Buy workflows: https://iloveflows.com ☁️ Use n8n Cloud with my partner link: https://n8n.partnerlinks.io/amanda

AI Agent for realtime insights on meetings

Video Guide I prepared a detailed guide explaining how to build an AI-powered meeting assistant that provides real-time transcription and insights during virtual meetings. Youtube Link Who is this for? This workflow is ideal for business professionals, project managers, and team leaders who require effective transcription of meetings for improved documentation and note-taking. It's particularly beneficial for those who conduct frequent virtual meetings across various platforms like Zoom and Google Meet. What problem does this workflow solve? Transcribing meetings manually can be tedious and prone to error. This workflow automates the transcription process in real-time, ensuring that key discussions and decisions are accurately captured and easily accessible for later review, thus enhancing productivity and clarity in communications. What this workflow does The workflow employs an AI-powered assistant to join virtual meetings and capture discussions through real-time transcription. Key functionalities include: Automatic joining of meetings on platforms like Zoom, Google Meet, and others with the ability to provide real-time transcription. Integration with transcription APIs (e.g., AssemblyAI) to deliver seamless and accurate capture of dialogue. Structuring and storing transcriptions efficiently in a database for easy retrieval and analysis. Real-Time Transcription: The assistant captures audio during meetings and transcribes it in real-time, allowing participants to focus on discussions. Keyword Recognition: Key phrases can trigger specific actions, such as noting important points or making prompts to the assistant. Structured Data Management: The assistant maintains a database of transcriptions linked to meeting details for organized storage and quick access later. Setup Preparation Create Recall.ai API key Setup Supabase account and table create table public.data ( id uuid not null default gen_random_uuid (), date_created timestamp with time zone not null default (now() at time zone 'utc'::text), input jsonb null, output jsonb null, constraint data_pkey primary key (id), ) tablespace pg_default; Create OpenAI API key Development Bot Creation: Use a node to create the bot that will join meetings. Provide the meeting URL and set transcription options within the API request. Authentication: Configure authentication settings via a Bearer token for interacting with your transcription service. Webhook Setup: Create a webhook to receive real-time transcription updates, ensuring timely data capture during meetings. Join Meeting: Set the bot to join the specified meeting and actively listen to capture conversations. Transcription Handling: Combine transcription fragments into cohesive sentences and manage dialog arrays for coherence. Trigger Actions on Keywords: Set up keyword recognition that can initiate requests to the OpenAI API for additional interactions based on captured dialogue. Output and Summary Generation: Produce insights and summary notes from the transcriptions that can be stored back into the database for future reference.

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🐶 AI Petshop Assistant with GPT-4o, Google Calendar & WhatsApp/Instagram/FB

Hi! I’m Amanda 🐶💕 This is honestly one of the cutest, smartest workflows I’ve ever built. It was designed with a lot of love to help petshops give their customers fast, modern, and sweet service — without losing the personal touch. Imagine a client sending a message on WhatsApp, Instagram or Messenger, and in seconds, they’re greeted with a kind message, a helpful menu, and everything they need. No delays. No stress. Just smooth, intelligent automation. This AI agent chats, books, checks, confirms, charges, and saves — all powered by GPT-4o, LangChain, Google Calendar, Asaas, Supabase, and more. It’s like having a super capable receptionist who works 24/7 and never forgets a detail 🐾 🌟 What this workflow does (and it does it with love) 💬 Multichannel AI Support Serve customers across WhatsApp (official or Evolution API), Instagram Direct, Facebook Messenger, and more — all in one single flow. 🧠 Smart, friendly conversations Powered by OpenAI GPT-4o, this assistant understands natural language, voice messages, even PDFs and images. It keeps context, remembers the client, and replies with clarity and warmth. 🗓️ Real-time booking with Google Calendar Book baths, check-ups or grooming sessions instantly. It checks availability, suggests times, and even handles rescheduling when needed. 🧾 Automatic billing with Asaas It can generate payment links or invoices through the Asaas API and send them straight to the customer — no manual work involved. 📦 Check product availability Clients can ask things like “Do you have Royal Canin puppy food?” and get a real-time answer based on your inventory stored in Supabase. 📂 Understands voice, images & files Whether it’s a voice note describing symptoms or a picture of a vaccine card, the assistant processes and responds intelligently. 💌 Fully customizable tone and flow You can adjust the AI’s prompt, tweak the tone of voice, include emojis, and make the whole flow match your brand’s style perfectly. 💾 Save customer history All conversations, bookings, names, preferences and contact info are stored in Supabase — safe and organized. 🕒 Handles time rules beautifully The flow respects your opening hours and avoids scheduling on holidays or weekends (unless you say otherwise). It can even respond politely if a message arrives after hours. 🛠️ How to set it up Connect your APIs: OpenAI, Supabase, Google Calendar, Asaas, Evolution or WhatsApp API Customize your business hours, greeting text and booking options Add your services menu or calendar rules Test and go live — your smart, kind AI receptionist is ready to help 💛 ✅ Works on n8n Cloud and Self-hosted 🔒 Secure credential management built into n8n 🐾 Recommended for users with basic n8n experience Want to adapt this flow to your business? ❤️ Buy Workflows: https://iloveflows.gumroad.com Oi! Eu sou a Amanda 🐶💕 E olha… esse aqui é um dos meus fluxos favoritos da vida! Ele foi feito com muito amor pra ajudar petshops a oferecerem um atendimento moderno, gentil e automático — sem perder o toque humano, sabe? Imagina só: seu cliente envia uma mensagem por WhatsApp, Instagram ou Facebook, e em segundos, ele já recebe um “oi” carinhoso, com menu de opções, horários disponíveis e tudo o que precisa. ✨ Esse fluxo conversa, entende, agenda, confirma, cobra, atualiza e registra — tudo com a inteligência do GPT-4o e várias integrações superpoderosas. É tipo ter uma atendente virtual carismática, atenta e que nunca tira férias 🐾 🌟 O que esse fluxo faz (e faz com amor) 💬 Atende por multicanais Isso mesmo! Seu cliente pode falar com você pelo WhatsApp API oficial, Evolution API, Instagram Direct, Messenger do Facebook e muito mais. Um só fluxo pra todos os lugares onde seu cliente está. 🧠 Conversa com inteligência (e simpatia) O assistente usa OpenAI GPT-4o com LangChain pra entender texto, áudio e até imagens. Ele mantém o contexto da conversa, lembra do cliente, responde com naturalidade e se adapta à personalidade do seu petshop. 🗓️ Faz agendamentos em tempo real Seja banho, tosa, consulta ou vacinação, o fluxo se conecta com o Google Calendar e encontra o horário perfeito. Se o cliente quiser reagendar, ele oferece novas datas com todo o cuidado. 🧾 Gera cobranças automáticas Integrado com a API do Asaas, o assistente pode gerar boletos ou links de pagamento e enviar para o cliente direto no chat. Tudo isso com confirmação automática. 📦 Consulta produtos no estoque O cliente pode perguntar: “tem ração Golden para gatos de 10kg?” — e pronto, o assistente verifica no Supabase e responde rapidinho se tem ou não, com base no que você cadastrou. 📂 Entende arquivos, áudios e imagens Sim! Se o cliente mandar um áudio explicando o problema do pet, ou até uma foto da carteirinha de vacinação, o assistente analisa com a IA e responde com base nessas informações. 💌 Personaliza o atendimento Você pode editar o prompt da IA, mudar o tom de voz, escolher emojis, ajustar frases… assim, o atendimento fica com a carinha e a linguagem da sua marca. 💾 Salva tudo com segurança O fluxo guarda todo o histórico no Supabase: nome do cliente, horário do atendimento, preferência, pedidos anteriores, endereço e muito mais. 🕓 Respeita horários e feriados Não tem risco de marcar agendamentos fora do horário. Você define os dias e períodos de atendimento, e ele segue direitinho — com lembretes e mensagens fofas se o cliente escrever fora do horário. 🛠️ Como configurar? Conecte suas APIs: OpenAI, Supabase, Google Calendar, Asaas, Evolution (ou WhatsApp API oficial) Preencha seus horários de atendimento e personalize seu menu Adicione links do seu cardápio de serviços, regras ou política de agendamento Teste tudo com carinho e pronto! Você tem um atendente virtual incrível 💕 ✅ Compatível com n8n Cloud e n8n Auto-hospedado 🔒 Segurança total usando credenciais protegidas no n8n 🐾 Recomendado para quem já conhece um pouquinho de n8n Quer adaptar esse fluxo pro seu sistema? ❤️ Buy Workflows: https://iloveflows.gumroad.com

Smart Email Assistant: Automate Customer Support with AI & Supabase

Intelligent Email Support System with Vector Database Overview This n8n workflow automates email support using AI and vector database technology to provide smart, context-aware responses. It seamlessly integrates email automation and document management, ensuring efficient customer support. 📌 System Components ✉️ Email Support System Email Monitoring & Classification Gmail trigger node monitoring inbox AI-powered email classification Intelligent routing (support vs non-support inquiries) AI Response Generation LangChain agent for response automation OpenAI integration for NLP-driven replies Vector-based knowledge retrieval Automated draft creation in Gmail Vector Database System Supabase vector store for document management OpenAI embeddings for vector conversion Fast and efficient similarity search 📂 Document Management System Google Drive Integration Monitors specific folders for new/updated files Automatic document processing Supports various file formats Document Processing Pipeline Auto file download & text extraction Smart text chunking for better indexing Embedding generation via OpenAI Storage in Supabase vector database 🔄 Workflow Processes 📧 Email Support Flow Monitor Gmail inbox for new emails AI classification of incoming messages Route support emails to AI response generator Perform vector similarity search for knowledge retrieval Generate personalized AI-driven response Create email drafts in Gmail 📁 Document Management Flow Monitor Google Drive for new/updated files Auto-download and process documents Clean up outdated vector entries for updated files Extract and split document text efficiently Generate OpenAI embeddings Store processed data in Supabase vector DB ⚙️ Setup Instructions 1️⃣ Prerequisites Supabase** account & project OpenAI API key** Gmail account** with OAuth2 setup Google Drive API** access n8n installation** 2️⃣ Supabase Database Setup -- Create the vector extension create extension if not exists vector; -- Create the documents table create table documents ( id bigserial primary key, content text, metadata jsonb, embedding vector(1536) ); -- Create an index for similarity search create index on documents using ivfflat (embedding vector_cosine_ops) with (lists = 100); 3️⃣ Google Drive Setup Create & configure two monitored folders: RAG folder for new documents documents Assign correct folder permissions Add folder IDs to the workflow 4️⃣ Document Processing Configuration Set up triggers for file creation and file updates Configure text extraction: Define chunk size & overlap settings Set document metadata processing 🔍 Maintenance & Optimization 📌 Regular Tasks Monitor system performance Update the knowledge base regularly Review AI response quality Optimize vector search parameters Clean up outdated document embeddings ✅ Best Practices Document Organization Maintain structured folders & naming conventions Keep knowledge base content updated System Optimization Track AI classification accuracy Tune response times & chunk sizes Perform regular database maintenance 🛠️ Troubleshooting Email Issues Verify Gmail API credentials Check AI service uptime Monitor classification performance Document Processing Issues Ensure correct file permissions Validate extraction & embedding processes Debug vector database insertions

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🤖 AI-Powered WhatsApp Assistant for Restaurants & Delivery Automation

AI-Powered WhatsApp Assistant for Restaurant & Delivery – Automate Orders, Calculate Delivery Fees & Enhance Customer Service with n8n 📌 Optimize your restaurant's delivery process with AI-powered automation! This n8n workflow enables an intelligent WhatsApp assistant for restaurants, burger joints, and delivery businesses. The AI chatbot efficiently handles orders, calculates delivery fees based on distance, manages customer interactions, and seamlessly integrates with your CRM and database for streamlined operations. ⚠️ Important Notice: This template is only compatible with self-hosted n8n instances as it uses community nodes. Ensure secure credential management when configuring APIs. 🔹 Key Features ✅ AI-Powered Order Processing – Automatically receive and confirm orders via WhatsApp. ✅ Real-Time Distance Calculation – Determines the delivery distance and calculates the fee dynamically. ✅ Automated Customer Interaction – Engages customers with intelligent conversation and order updates. ✅ WhatsApp Integration – Processes messages, saves customer details, and retrieves past interactions. ✅ Secure Customer Data Storage – Saves order history, customer preferences, and location details in a database. ✅ Seamless CRM & POS System Integration – Sync orders and customer data with your existing platforms. 📌 How It Works 1️⃣ A customer sends a message via WhatsApp to start an order. 2️⃣ The AI assistant guides them through the menu, recommends items, and confirms their choices. 3️⃣ The system retrieves and saves customer details (name, phone number, and address). 4️⃣ The AI calculates the delivery distance and applies the appropriate delivery fee. 5️⃣ The order details are saved and forwarded to the restaurant’s system for preparation. 6️⃣ The assistant keeps the customer updated about the order status. ⚙️ Setup & Customization 🔧 Webhook for WhatsApp – Capture and process customer messages automatically. 🔧 OpenAI-Powered AI Assistant – Configure conversation flows for natural and engaging interactions. 🔧 Delivery Fee Calculation – Set your delivery price per kilometer and adjust base rates. 🔧 Database & CRM Integration – Store customer details, order history, and location data. 🔧 Customizable Order Flow – Adapt the workflow for different restaurant models. 🔧 Secure Credential Management – Store API keys safely to prevent unauthorized access. 💡 Requirements: This template is recommended for users with basic knowledge of n8n. If you need custom development or setup assistance, contact us via WhatsApp: +55 17 99155-7874. 🚀 Automate order processing, reduce manual tasks, and improve customer satisfaction with AI-powered WhatsApp automation! Assistente de WhatsApp com IA para Restaurantes & Delivery – Automatize Pedidos, Calcule Taxas de Entrega e Melhore o Atendimento ao Cliente com n8n 📌 Otimize o processo de entrega do seu restaurante com automação baseada em IA! Este fluxo para n8n permite criar um atendente virtual inteligente no WhatsApp, ideal para hamburguerias, restaurantes e serviços de delivery. O chatbot baseado em IA recebe pedidos, calcula a taxa de entrega com base na distância, interage com os clientes e integra-se ao seu CRM para operações mais eficientes. ⚠️ Aviso Importante: Este template é compatível apenas com instâncias auto-hospedadas do n8n, pois utiliza nós da comunidade. Certifique-se de gerenciar credenciais de forma segura ao configurar APIs. 🔹 Principais Funcionalidades ✅ Processamento Inteligente de Pedidos – Recebe e confirma pedidos automaticamente via WhatsApp. ✅ Cálculo Dinâmico da Taxa de Entrega – Mede a distância e aplica a taxa correta automaticamente. ✅ Atendimento Automatizado ao Cliente – Interage com clientes de forma natural e profissional. ✅ Integração com WhatsApp – Captura mensagens, armazena dados e recupera histórico de pedidos. ✅ Armazenamento Seguro de Dados do Cliente – Salva pedidos, preferências e endereços de entrega. ✅ Sincronização com CRM e Sistema de PDV – Conecta-se ao seu sistema de gestão para um fluxo contínuo. 📌 Como Funciona 1️⃣ O cliente envia uma mensagem via WhatsApp para iniciar um pedido. 2️⃣ O assistente de IA apresenta o menu, sugere itens e confirma a escolha do cliente. 3️⃣ O sistema captura e salva os dados do cliente (nome, telefone e endereço). 4️⃣ A IA calcula a distância de entrega e aplica a taxa de acordo com a localização. 5️⃣ Os detalhes do pedido são registrados e enviados para a cozinha. 6️⃣ O assistente atualiza o cliente sobre o status do pedido. ⚙️ Configuração e Personalização 🔧 Webhook para WhatsApp – Configuração para capturar e processar pedidos automaticamente. 🔧 Assistente de IA com OpenAI – Configuração de fluxos conversacionais naturais e envolventes. 🔧 Cálculo de Taxa de Entrega – Definição de valores por quilômetro e ajustes de tarifas base. 🔧 Banco de Dados & CRM – Armazena dados de clientes, histórico de pedidos e localização. 🔧 Fluxo de Pedidos Personalizável – Adapte para diferentes tipos de restaurantes e serviços de delivery. 🔧 Gerenciamento Seguro de Credenciais – Proteja suas chaves de API contra acessos não autorizados. 💡 Requisitos: Este template é recomendado para usuários que já possuem conhecimentos básicos em n8n. Se precisar de personalização ou suporte para instalação, entre em contato pelo WhatsApp: +55 17 99155-7874. 🚀 Automatize o processamento de pedidos, reduza tarefas manuais e melhore a satisfação dos clientes com um WhatsApp automatizado e inteligente!

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🐶 AI Agent for PetShop Appointments (Agente de IA para agendamentos de PetShop)

🐶🤖 AI Agent for Pet Shops – Automate Customer Service & Bookings! 🐾💡 Transform Your Pet Shop with AI-Powered Automation! 🚀 Enhance customer experience and optimize operations with this n8n AI Agent designed for pet shops. 📲🐾 Automate client interactions, appointment scheduling, and service recommendations—saving time and increasing revenue! 🔹 Key Features: ✅ Instant WhatsApp responses – AI-powered chatbot handles customer inquiries. 💬 ✅ Automated appointment scheduling – Clients can book services hassle-free. 📅✂️ ✅ Personalized reminders – Reduce no-shows with automated notifications. 📢🐾 ✅ Customer data & service history management – Track interactions effortlessly. 📊📁 ✅ Product & service recommendations – Improve sales with smart suggestions. 🎁🐶 📌 How It Works 1️⃣ The workflow captures customer inquiries via WhatsApp. 2️⃣ AI processes requests, provides information, and offers booking options. 3️⃣ Clients can schedule grooming, vet visits, or other services in seconds. 4️⃣ Automated reminders ensure appointments are remembered. 5️⃣ Customer data is stored for better service personalization. ⚙️ Setup & Customization 🔧 Connect your WhatsApp API (evolution) for instant messaging. 🔧 Integrate with Google Calendar for appointment booking. 🔧 Customize reminders, services, and pricing rules to fit your business. 💡 Reduce manual work, improve customer satisfaction, and scale your pet shop with AI automation! 🐶🤖 [PT-BR] Agente de IA para Pet Shops – Atendimento e Agendamentos Automatizados! 🐾💡 Transforme Seu Pet Shop com Automação Inteligente! 🚀 Otimize o atendimento ao cliente e agilize processos com este Agente de IA para n8n. 📲🐾 Automatize interações, agendamentos e recomendações de serviços—economizando tempo e aumentando as vendas! 🔹 Principais Funcionalidades: ✅ Atendimento automático no WhatsApp – IA responde clientes instantaneamente. 💬 ✅ Agendamento de serviços automatizado – Clientes marcam banho, tosa ou consultas facilmente. 📅✂️ ✅ Lembretes personalizados – Reduza faltas com notificações automáticas. 📢🐾 ✅ Gestão de clientes e histórico de serviços – Controle dados de forma eficiente. 📊📁 ✅ Sugestão de produtos e serviços – Venda mais com recomendações inteligentes. 🎁🐶 📌 Como Funciona 1️⃣ O fluxo recebe perguntas dos clientes via WhatsApp. 2️⃣ A IA processa os pedidos e fornece opções de agendamento. 3️⃣ O cliente escolhe o serviço desejado e agenda em segundos. 4️⃣ Lembretes automáticos garantem que os clientes não esqueçam os horários. 5️⃣ O histórico do cliente é salvo para oferecer um atendimento mais personalizado. ⚙️ Configuração e Personalização 🔧 Conecte sua API do WhatsApp (evolution) para interação automática. 🔧 Integre ao Google Calendar para gerenciar agendamentos. 🔧 Personalize valores, serviços e regras de envio de lembretes conforme sua necessidade. 💡 Automatize processos, melhore a experiência do cliente e escale seu pet shop com IA! 🚀

Forecast Zoho CRM deals with AlphaVantage market data, GPT‑4 and Slack alerts

Zoho CRM Deal Forecasting with External Market Factor This workflow automatically fetches active deals from Zoho CRM, retrieves real-time market signals, calculates AI-enhanced forecast metrics, evaluates deal-market alignment, stores data in a database, updates CRM, and sends a summary alert to Slack. This workflow runs weekly to help sales teams make data-driven decisions. It fetches all open deals from Zoho, calculates expected revenue using deal amount, probability, seasonal trends, and market signals. An AI node evaluates each deal’s match ratio against current market conditions. Forecasts and AI insights are stored in a database and written back into Zoho. A Slack message summarizes the key metrics for easy review. You receive: Weekly automated deal forecast**. AI-powered deal-market alignment insights**. Database storage for historical trends**. Slack summary notifications**. Ideal for sales teams wanting real-time insights into pipeline health and market alignment without manual calculations. Quick Start – Implementation Steps Import the provided n8n workflow JSON file. Add your Zoho CRM credentials in all relevant nodes. Add your AlphaVantage API key in the Market Signal node. Connect your Slack credentials and select the channel for alerts. Connect your Supabase (or preferred database) account for storing forecasts. Activate the workflow — it will run automatically on the configured weekly schedule. What It Does This workflow automates deal forecasting with AI-enhanced insights: Fetches all active deals from Zoho CRM. Retrieves real-time market data (SPY index) from AlphaVantage. Combines deal and market data for forecast calculations. Calculates expected revenue using: Deal amount Probability Seasonal factors Market signals Sends deal data to an AI node for match ratio, confidence level, and reasoning. Parses AI output and merges it with forecast data. Stores forecast & AI metrics in a database (Supabase). Updates Zoho CRM with adjusted forecast and AI insights. Sends a summary alert to Slack including: Deal name and stage Amount, probability, and expected revenue Market signal and seasonal factor AI match ratio and confidence This ensures teams see clear, actionable sales insights every week. Who’s It For This workflow is ideal for: Sales managers and CRM admins Revenue operations teams Forecasting analysts Teams using Zoho CRM and Slack for pipeline management Anyone wanting AI insights on market alignment for deals Requirements to Use This Workflow To run this workflow, you need: n8n instance** (cloud or self-hosted) Zoho CRM account** with API access AlphaVantage API key** for market data Slack workspace** with API permissions Supabase or other database** for storing forecasts Basic understanding of deals, probabilities, and seasonal forecasting How It Works Weekly Trigger – Workflow runs automatically once a week. Fetch Deals – Retrieves all active deals from Zoho CRM. Get Market Signal – Fetches real-time market data. Combine Deal & Market Info – Merges deal and market datasets. Generate Forecast Metrics – Calculates expected revenue using deal info, seasonality, and market influence. AI Deal Match Evaluator – AI evaluates alignment of each deal with market conditions. Parse AI Output & Merge Forecast – Parses AI response and combines with forecast data. Store Forecast in Database – Saves forecast and AI insights to Supabase. Update Deal Forecast in Zoho – Updates deals with adjusted forecast and AI insights. Send Forecast Summary to Slack – Sends a clear summary with key metrics. Setup Steps Import the workflow JSON file into n8n. Add Zoho credentials for deal fetch and update nodes. Add AlphaVantage API key for market signal node. Configure Supabase node to store forecast data. Add Slack credentials and choose a channel for notifications. Test the workflow manually to ensure metrics are calculated correctly. Activate the weekly trigger. How To Customize Nodes Forecast Calculation Modify Generate Forecast Metrics node to adjust seasonal factors or calculation logic. AI Match Evaluation You can tweak prompts in Message a Model to adjust AI scoring logic or reasoning output. Database Storage Supabase node can include additional fields: Timestamp Deal owner Notes or comments Additional KPIs Slack Alerts Customize message format, emojis, or mentions for team readability. Add-Ons (Optional Enhancements) Integrate multiple market indices for more accurate forecasting. Add multi-stage probability adjustments. Create dashboards using stored forecast data. Extend AI evaluation for risk scoring or priority recommendations. Use Case Examples Pipeline Health Quickly see which deals are aligned with market conditions. Forecast Accuracy Track historical vs AI-enhanced forecasts for trend analysis. Team Notifications Slack summary alerts keep sales and leadership informed weekly. Troubleshooting Guide | Issue | Possible Cause | Solution | |-------|----------------|---------| | No Slack alerts | Invalid credentials | Re-check Slack API key and channel | | Forecast not updating | Zoho API error | Verify Zoho OAuth credentials | | AI node fails | Model misconfiguration | Check OpenAI API credentials & prompt format | | Data not stored | Supabase connection issue | Verify credentials and table mapping | Need Help? If you need assistance setting up the workflow, modifying the AI forecast logic or integrating Slack summaries our n8n workflow development team at WeblineIndia can help. We provide workflow customization, advanced forecasting and reporting solutions for Zoho CRM pipelines.

Telegram Interior Design Studio with Furniture Cataloging & Gemini AI Design Generation

AI Interior Design Assistant: Your Digital Design Partner What This System Does This n8n workflow transforms your Telegram into a professional interior design studio powered by artificial intelligence. Send a photo of furniture or a room space, and watch as the system intelligently catalogs items, documents spaces, and generates stunning custom interior designs tailored to your vision. The Magic Behind the Scenes Smart Image Recognition When you upload a photo, the system immediately springs into action with sophisticated image analysis: Furniture Detection**: Spots individual pieces like sofas, chairs, tables, and lamps with catalog-precision accuracy Room Analysis**: Identifies complete spaces, architectural features, lighting conditions, and existing design elements Style Classification**: Determines design styles from modern minimalist to traditional classic Material Recognition**: Identifies wood types, fabric textures, metal finishes, and color palettes Intelligent Database Management The workflow maintains three interconnected databases that work like a professional design firm's catalog system: Furniture Catalog (catalog_products) Comprehensive product details including style, materials, dimensions, and compatibility Professional descriptions written for interior designers Searchable tags for quick design matching High-quality image storage for visual reference Room Documentation (rooms) Detailed space analysis including size, style, and architectural features Color palette documentation and lighting assessment Existing furniture inventory for design planning Room-specific design recommendations Design Portfolio (ai_generated_images) Archive of all AI-generated interior designs Original prompts and design descriptions Searchable by style, room type, or specific elements Ready for client presentations or further modifications AI-Powered Design Generation The system's crown jewel is its ability to create stunning interior visualizations: Contextual Understanding: Combines room characteristics with catalog products to create realistic design scenarios Professional Prompting: Generates detailed, interior-design-specific prompts that result in high-quality, commercially viable designs Style Consistency: Maintains design coherence across different elements while respecting user preferences Modification Capabilities: Can reference and modify previous designs, allowing for iterative improvements The User Experience Journey Scenario 1: Building Your Furniture Catalog Upload: Send photos of furniture pieces via Telegram Analysis: AI examines each piece, identifying style, materials, dimensions, and design era Cataloging: Items are professionally documented with searchable metadata Confirmation: Receive detailed catalog entries for each piece Scenario 2: Documenting Your Spaces Room Photos: Share images of your living spaces Space Analysis: AI assesses room size, style, lighting, and architectural features Documentation: Complete room profiles are created for design planning Inventory: Existing furniture and design elements are noted Scenario 3: Creating Custom Designs Design Request: Ask for specific interior modifications or new layouts Smart Matching: System pulls relevant items from your catalog and room data AI Generation: Gemini 2.5 Flash creates photorealistic interior designs Instant Delivery: Receive professional-quality visualizations via Telegram Scenario 4: Design Evolution Reference Previous Work: Mention earlier designs you want to modify Contextual Modification: AI understands your reference and applies new changes Enhanced Generation: Creates updated designs building on previous concepts Continuous Improvement: Iterate until the design matches your vision Technical Sophistication Multi-AI Coordination OpenAI GPT-4**: Handles complex reasoning, database operations, and user interaction Google Gemini 2.5 Flash**: Specializes in high-quality image generation with interior design expertise Intelligent Routing**: Automatically determines whether to catalog, document, or generate based on context Professional Data Structure The database schema reflects real interior design workflows: Industry-standard categorization systems Professional terminology and measurements Design compatibility matrices Style and era classifications used by actual designers Seamless Integration Telegram Interface**: No app downloads or complex interfaces - just send photos and text Cloud Storage**: All images stored in Supabase with public URLs for easy access Real-time Processing**: Immediate feedback and rapid design generation Persistent Memory**: Everything is saved and searchable for future reference Why This Matters This workflow bridges the gap between professional interior design tools and accessible consumer technology. It provides: For Design Professionals: A powerful cataloging and visualization tool that streamlines client presentations and design iteration For Homeowners: Professional-level design capability without the cost or complexity of traditional design software For Businesses: A scalable solution for furniture visualization, space planning, and customer engagement The Innovation Factor Unlike simple design apps that work with generic templates, this system: Learns your specific furniture and spaces Maintains design continuity across projects Provides professional-quality outputs Scales from single rooms to complete home designs Integrates seamlessly into your daily communication workflow The result is a design assistant that feels less like software and more like having a professional interior designer available 24/7 through your phone. Future Possibilities This foundation supports expansion into: Room dimension calculations and space optimization Integration with furniture retailers for purchase links 3D room modeling and virtual reality previews Style preference learning and automated suggestions Multi-user collaboration for design teams The workflow represents a new paradigm where AI doesn't replace human creativity but amplifies it, making professional design capabilities accessible to anyone with a smartphone and an imagination.

AI-Powered WhatsApp Customer Service with GPT-4, Smart Routing & Knowledge Base

AI-Powered Customer Service Automation with Smart Routing How it works Core Intelligence Pipeline • Multi-Layer Message Analysis - Every customer interaction passes through three specialized AI classifiers: privacy detection (identifies sensitive data and security requirements), intent recognition (categorizes requests as purchases, inquiries, complaints, technical support, or order tracking), and sentiment analysis (monitors emotional tone from neutral to critical frustration levels) • Dynamic Knowledge Integration - The system maintains live connections to your company's knowledge base and order management systems, automatically querying relevant information before crafting responses. This ensures accuracy and eliminates outdated information while providing real-time order status updates • Conversational Memory & Context - Advanced chat memory preserves conversation history across sessions, enabling the AI to maintain context, avoid repetitive responses, and build on previous interactions for more natural, human-like conversations • Intelligent Response Generation - The AI agent synthesizes information from multiple sources (knowledge base, order systems, conversation history) while adapting its tone and approach based on detected customer sentiment and privacy requirements Smart Escalation System • Automated Triage Classification - A sophisticated routing engine categorizes each interaction into four escalation levels: Normal (AI-handled routine inquiries), Human Request (explicit agent requests), Critical Complaint (serious issues requiring immediate attention), and Owner Escalation (extreme situations with legal implications or persistent anger) • Context-Aware Handoffs - When escalation is required, the system automatically generates comprehensive situation summaries for human agents, including conversation history, customer sentiment analysis, and specific issue classification • Multi-Channel Notifications - Escalated cases trigger appropriate alerts via email to designated team members based on severity level, ensuring proper resource allocation and response times Data Intelligence & Analytics • Comprehensive Interaction Logging - Every conversation is captured with full context including customer sentiment, intent classification, AI responses, and escalation decisions, creating a rich dataset for performance analysis and system improvement • Conversation Context Generation - For escalated cases, the system automatically produces detailed conversation summaries and context reports to help human agents understand the full situation before taking over Set up steps Platform Integration (20-30 minutes) • Messaging Platform Connection - Configure your primary communication channel (supports multiple messaging platforms) with proper API credentials and webhook setup for real-time message processing • AI Service Configuration - Connect OpenAI API credentials for the language models powering the classification engines and response generation • Database Setup - Establish connections to your customer database and order management systems for personalized responses and order tracking capabilities Knowledge Base Preparation (45-60 minutes) • Company Information Import - Upload or connect your existing knowledge base, including product catalogs, policy documents, FAQ sections, and troubleshooting guides • Order Database Integration - Link your order management system to enable real-time order status queries, shipping tracking, and return processing • Response Templates - Configure standard response patterns and company voice guidelines to ensure consistent brand communication Escalation & Routing Setup (15-25 minutes) • Team Structure Configuration - Define escalation paths and assign notification recipients for different severity levels (standard support, critical complaints, owner-level issues) • Email Integration - Connect email service for automated escalation notifications with customizable templates for different situation types • Escalation Triggers - Fine-tune the classification thresholds that determine when conversations require human intervention Testing & Optimization (30-45 minutes) • Conversation Flow Testing - Run comprehensive test scenarios covering various customer intents, sentiment levels, and escalation triggers to validate system responses • Knowledge Base Validation - Verify that the AI can accurately retrieve and apply information from your knowledge base for common customer queries • Escalation Path Verification - Test all escalation routes to ensure proper notifications and handoff procedures are functioning correctly • Performance Monitoring Setup - Configure analytics tracking to monitor response accuracy, escalation rates, and customer satisfaction metrics Advanced Configuration (Optional - 30-60 minutes) • Multi-Language Support - Configure language detection and response capabilities for international customer base • Custom Classification Rules - Adjust intent and sentiment classification parameters based on your specific business context and customer communication patterns • Integration Extensions - Connect additional business systems (CRM, billing, inventory) for enhanced customer service capabilities Technical Specifications AI Models & Processing • Powered by GPT-4 family models for natural language understanding and generation • Real-time voice transcription capabilities for multi-modal customer interactions • Structured output parsing for consistent data classification and routing decisions • Context-aware memory management with configurable conversation history retention Data Security & Privacy • Automatic detection of sensitive information with privacy-first handling protocols • Configurable data retention policies and secure storage of conversation logs • Customer verification requirements for accessing sensitive account information • GDPR-compliant data processing and storage practices Scalability & Performance • Modular architecture supporting easy integration of additional messaging platforms • Database-agnostic design (supports PostgreSQL, Supabase, and other systems) • Horizontal scaling capabilities for high-volume customer service operations • Real-time processing with minimal latency for immediate customer responses Detailed technical implementation guides, API configuration examples, and troubleshooting documentation are embedded within the workflow nodes for development teams.

Automate Personalized Cold Email Sequences with GPT-4, Mailgun and Supabase

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. AI-Powered Cold Email Sequence Workflow for n8n Unlock advanced cold email automation and boost your outbound results with this robust n8n workflow, engineered for scale, personalization, and flexibility. Harness AI-driven email content, dynamic lead handling, and intelligent scheduling—without writing code. What’s Inside Intelligent Multi-Step Email Outreach Automate 3-step cold email sequences for every prospect—all fully personalized and contextually adapted through AI research and copy generation. Each contact receives tailored, timely emails designed to maximize engagement and reply rates. Automated Personalization at Scale For every new lead, the workflow: Researches company and role context** using AI Identifies key pain points** and crafts custom hooks Builds multi-language, well-formatted HTML emails** with a consistent, brand-aligned tone This produces authentic, individualized communication—far more effective than generic mail merges. Advanced Scheduling & Delivery Logic Smart scheduling**: Sends distributed across optimal days/hours (configurable for your market) Throttled delivery**: Drip batching and dynamic waits to preserve deliverability Automated follow-ups**: Gentle, contextual nudges at precise intervals if there’s no reply Lead Management & Expansion Seamless database integration**: Email history, logic, and lead data fully synchronized with your backend (Supabase support included) Integrated lead generation**: Suite includes a companion workflow for sourcing, deduplicating, and enriching leads using Apollo, GPT-4, and AI—feeds directly into your campaign pipeline Built for Reliability and Scale Resilient against errors and duplicate sends Multi-sender rotation** for reputation management Easily customizable scheduling, content, languages, and batch size Tracks all critical data fields, like send history and reply status Use Cases B2B Sales Development** Automated Candidate Outreach (Recruitment)** Newsletter or Event Drip Campaigns** Startup Go-to-Market Sequences** Agency Lead Generation** Template Highlights AI-Powered Personalization**: Cold emails crafted by GPT-4 and prompt engineering Omnichannel Scheduling**: Dynamic batching, throttling, sender rotation Works Out-of-the-Box**: Connects to Mailgun, OpenAI, Supabase—simply insert credentials and leads Companion Lead Gen Workflow: Includes Apollo–AI–database pipeline for continuous sourcing that you can acces **for free in my profile. Flexible & Modular**: Adapt language, schedule, templates, or trigger events as your strategy evolves Best Practice Features No PII or sensitive data embedded—safe for corporate teams Modular zones for sequence creation, delivery, and tracking—clarity and easy expansion Clearly-named nodes and logical flows, following n8n community standards Robust error handling for high deliverability and low maintenance Experience end-to-end intelligent email automation—powered by n8n, trusted integrations, and state-of-the-art AI. Both the cold outreach workflow and the lead generation template are included. Discover, engage, and convert—at scale.

Two-Stage Document Retrieval Chatbot with OpenAI and Supabase Vector Search

Video Guide I prepared a comprehensive guide demonstrating how to build a multi-level retrieval AI agent in n8n that smartly narrows down search results first by file descriptions, then retrieves detailed vector data for improved relevance and answer quality. Youtube Link Who is this for? This workflow suits developers, AI enthusiasts, and data engineers working with vector stores and large document collections who want to enhance the precision of AI retrieval by leveraging metadata-based filtering before deep content search. It helps users managing many files or documents and aiming to reduce noise and input size limits in AI queries. What problem does this workflow solve? Performing vector searches directly on large numbers of document chunks can degrade AI input quality and introduce noise. This workflow implements a two-stage retrieval process that first searches file descriptions to filter relevant files, then runs vector searches only within those files to fetch precise results. This reduces irrelevant data, improves answer accuracy, and optimizes performance when dealing with dozens or hundreds of files split into multiple pieces. What this workflow does This n8n workflow connects to a Supabase vector store to perform: Multi-level Retrieval:** File Description Search: Calls a Supabase RPC function to find files whose descriptions (metadata) best match the user query. It filters and limits the number of relevant files based on similarity scores. Document Chunk Retrieval: Uses retrieved file IDs to perform a second RPC call fetching detailed vector pieces only within those files, again filtered by similarity thresholds. OpenAI Integration:** The filtered document chunks and associated metadata (like file names and URLs) are passed to an OpenAI message node that includes system instructions to guide the AI in leveraging the knowledge base and linked resources for comprehensive responses. Custom Code Functions:** Two code nodes interact with Supabase stored procedures match_files and match_documents to perform the semantic searches with multiline metadata filtering unavailable in default vector filters. Helper Flows and SQL Setup:** Templates and SQL scripts prepare database tables and functions, with additional flows to generate embeddings from file description summaries using OpenAI. N8N Workflow Preparation: Create or verify Supabase account with vector store capability. Set up necessary database tables and RPC functions (match_files and match_documents) using provided SQL scripts. Replace all credentials in n8n nodes to connect to your Supabase and OpenAI accounts. Optionally upload document files and generate their vector embeddings and description summaries in a separate helper workflow. Main Workflow Logic: Code Function Node #1: Receives user query and calls the match_files RPC to retrieve file IDs by searching file descriptions with vector similarity thresholds and file limits. Code Function Node #2: Takes filtered file IDs, invokes match_documents RPC to fetch vector document chunks only from those files with additional similarity filtering and count limits. OpenAI Message Node: Combines fetched document pieces, their metadata (file URLs, similarity scores), and system prompts to generate precise AI-powered answers referencing the documents. This multi-tiered retrieval process improves search relevance and AI contextual understanding by smartly limiting vector search scope first to relevant files, then to specific document chunks, refining user query results.

Multi-Agent Personal Assistant Orchestration with GPT-4o & WhatsApp

Description 'Elena AI' is a powerful n8n workflow that transforms your automation platform into a full-fledged, multi-agent AI hub. 🤖✨ By combining Redis state management with specialized “tool” sub-workflows, you can build contextual, scalable, and highly personalized conversational automations for WhatsApp, Telegram, email, and more. 🔥 Key Features Unified Ingestion** 📥 • Webhook trigger for text, audio, image, or document messages • Automatic extraction of remoteJid, user ID, and payload metadata Stateful Context** 🔄 • Redis push/get queue to preserve conversation history • Seamless handling of follow-ups and multi-turn dialogs Dynamic Routing** 🔀 • Smart Switch logic directs messages to the right agent workflow • Agents available: 🗓️ Malu: Google Calendar scheduling & reminders 💰 Maria: Expense logging & budget tracking in Baserow 👥 Mafalda: Contact CRUD operations in Baserow 📸 Marcela: Audio transcription & image analysis ✉️ Martina: Gmail send/receive & template replies Bite-Sized Responses** ✂️ • Splits long AI replies into line-by-line messages • Loop node controls rate & order for best UX Flexible Output** 📤 • HTTP Request node to deliver text, media, or files • Customize headers, payloads, and endpoints 🎯 Use Cases AI-powered customer support bots Automated lead qualification & follow-up Intelligent scheduling & reminders Expense approval workflows Multimedia content analysis & response 📋 Requirements n8n ≥ 1.0* with Webhook, *Redis, SplitInBatches, HTTP Request & Workflow nodes Redis** server (connection credentials in n8n) Service accounts / API keys for: Google Calendar (OAuth2) Baserow (API token) Gmail (OAuth2) Messaging API endpoint (HTTP) Environment variables set in n8n: REDIS_HOST, REDIS_PORT, REDIS_PASSWORD GOOGLE_CLIENT_ID, GOOGLE_CLIENT_SECRET BASEROW_API_TOKEN GMAIL_CLIENT_ID, GMAIL_CLIENT_SECRET MSG_API_URL, MSG_API_KEY 🚀 Quick Start Import the ElenaAI.json into n8n. Configure credentials and environment variables under Settings → Credentials. Link sub-workflows (Malu, Maria, Mafalda, Marcela, Martina) by updating their Workflow IDs in the main node. Test via Execute node or send a sample webhook payload. Deploy by exposing the Webhook endpoint to your messaging platform. Unlock seamless, AI-driven conversations across any channel—get MavenBot 2.0 running in minutes! 🚀

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Build your own OpenAI and Supabase integration

Create custom OpenAI and Supabase workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

OpenAI supported actions

Message a Model

Generate a model response with GPT 3, 4, 5, etc. using Responses API

Classify Text for Violations

Check whether content complies with usage policies

Analyze Image

Take in images and answer questions about them

Generate an Image

Creates an image from a text prompt

Edit Image

Edit an image

Generate Audio

Creates audio from a text prompt

Transcribe a Recording

Transcribes audio into text

Translate a Recording

Translates audio into text in English

Delete a File

Delete a file from the server

List Files

Returns a list of files that belong to the user's organization

Upload a File

Upload a file that can be used across various endpoints

Create

Create a conversation

Get

Get a conversation

Remove

Remove a conversation

Update

Update a conversation

Generate

Creates a video from a text prompt

Supabase supported actions

Create

Create a new row

Delete

Delete a row

Get

Get a row

Get Many

Get many rows

Update

Update a row

FAQs

Can OpenAI connect with Supabase?
Can I use OpenAI’s API with n8n?
Can I use Supabase’s API with n8n?
Is n8n secure for integrating OpenAI and Supabase?
How to get started with OpenAI and Supabase integration in n8n.io?

OpenAI and Supabase integration

How to connect OpenAI and Supabase

Step 1: Create a new workflow and add the first step

Step 2: Add and configure OpenAI and Supabase nodes

Step 3: Connect OpenAI and Supabase

Step 4: Customize and extend your OpenAI and Supabase integration

Step 5: Test and activate your OpenAI and Supabase workflow

AI agent for realtime insights on meetings

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Build your own OpenAI and Supabase integration

OpenAI supported actions

Supabase supported actions

OpenAI and Supabase integration details

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FAQs

Can OpenAI connect with Supabase?

Can I use OpenAI’s API with n8n?

Can I use Supabase’s API with n8n?

Is n8n secure for integrating OpenAI and Supabase?

How to get started with OpenAI and Supabase integration in n8n.io?

Need help setting up your OpenAI and Supabase integration?

How to define AI-powered Extra Workflow Inputs in AI tools?

The prompt is not being executed

OpenAI not receicving JSON data from previous node

Help with google sheets read node

New openAi Web search

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Why use n8n to integrate OpenAI with Supabase

Build complex workflows, really fast

Code when you need it, UI when you don't

Simple debugging

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