Supabase workflow'ları
50 sonuç — 11 indirilebilir workflow dosyası, 39 kaynağa bağlı n8n referansı
Supabase with Google Drive
On a chat message, loads Google Drive documents into Supabase vectors and answers questions with OpenAI retrieval-augmented generation.
Supabase with Google Drive — OpenAI
On a chat message, loads Google Drive documents into Supabase vectors and answers questions with OpenAI retrieval-augmented generation.
OpenAI to Supabase Automation
On an MCP request, embeds queries with OpenAI and searches a Supabase vector store.
RAG & Genai App with WordPress Content — OpenAI
On a webhook query, answers from WordPress content embedded into a Supabase vector store, using OpenAI and Postgres chat memory.
RAG & Genai App with WordPress Content
On a webhook query, answers from WordPress content embedded into a Supabase vector store, using OpenAI and Postgres chat memory.
Limit with Textsplittertokensplitter
On a Notion update or chat, embeds documents into Supabase and answers questions with OpenAI retrieval-augmented generation.
Supabase RAG Chat Agent
Embeds documents into Supabase with OpenAI, then lets a chat-triggered agent answer questions using the Supabase vector store.
Chat File Agent with HTTP Request
On a chat message or Google Drive upload, embeds files into Supabase and answers questions with an OpenAI RAG agent.
Agentic RAG Knowledge Agent
On chat or Google Drive uploads, embeds files into Supabase vectors and answers questions via an OpenAI agent with Postgres memory.
Google Drive RAG Pipeline
On new Google Drive files, extracts and embeds content with OpenAI, then stores vectors in Supabase for chat retrieval.
Google Drive RAG Chat Agent
On new Google Drive files, embeds content into Supabase; on chat, an OpenAI and Gemini agent answers from the vector store.
AI Chatbot with OpenAI GPT 4.1 Mini and Supabase Database Knowledge Base
On each chat message, an OpenAI GPT agent answers from a Supabase knowledge base, retaining context with conversation memory.
Drive Files to Supabase RAG
On new Google Drive files, splits and embeds content with OpenAI, stores vectors in Supabase, and answers chat queries via an agent.
Two Stage Document Retrieval Chatbot with OpenAI and Supabase Vector Search
On a chat message, performs two-stage retrieval over a Supabase vector store and answers with OpenAI.
Draft Personalized Outlook Support Email Replies with Supabase RAG and OpenAI
On a new Outlook email, drafts a personalized reply with OpenAI grounded in Supabase vector search, logging to Google Sheets.
AI Sales Chatbot: RAG, Lead Capture, Scoring, CRM and DB Sync, and Slack Alerts
On a chat message, answers using Supabase vector RAG with Google Gemini, captures and scores leads into Google Sheets, and alerts via Slack.
AI WhatsApp Support with Human Handoff Using Gemini, Twilio, and Supabase RAG
On a WhatsApp message via Twilio, answers with a Gemini RAG agent over Supabase-embedded Drive docs, escalating to humans and logging in Airtable.
Build a Website AI Chatbot with Lead Capture Using Gemini and Supabase RAG
On chat message, answers from a Supabase RAG of Google Drive docs using Gemini and OpenAI, and captures leads to Supabase.
RAG System V2 - Update Doc
On a Google Drive file update, clears old Supabase vectors, re-embeds the document with OpenAI, and upserts fresh vectors back to Supabase.
Scheduled YouTube Transcription with De Duplication Using Transcript.io and Supabase
On a schedule, reads YouTube RSS feeds, transcribes new videos via HTTP, deduplicates against Supabase, and stores the transcripts.
Monitor RSS Feeds, Extract Full Articles with Jina AI, and Save to Supabase
On a schedule, reads RSS feeds, extracts full article text via Jina AI, and stores new articles in Supabase.
Create a Self Updating RAG Chatbot with Google Drive, Gemini, and Supabase
On Google Drive changes, embeds documents into Supabase with Gemini, and answers chat queries via a Postgres-backed RAG agent with Cohere reranking.
Build a Knowledge Based WhatsApp Assistant with RAG, Gemini, Supabase & Google Docs
On a WhatsApp message, retrieves context from Supabase and Google Docs, then answers with a Gemini RAG agent over WhatsApp.
From sitemap crawling to vector storage: Creating an efficient workflow for RAG
On manual trigger, crawls a sitemap via HTTP, splits and embeds the content with OpenAI, and stores vectors in Supabase.