Outputparserstructured → Supabase

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

⏺ 🚀 How it works

My workflow 14. Uses supabase, redis, openAi, googleCalendarTool. Webhook trigger; 91 nodes.

AI Customer Service Automation - Portfolio. Uses googleSheets, httpRequest, agent, memoryBufferWindow. Webhook trigger; 91 nodes.

LinkedIn_Job_Hunt_and_Cover_Letter. Uses outputParserStructured, outputParserAutofixing, googleDrive, agent. Scheduled trigger; 85 nodes.

• Create a Google Drive folder to watch. • Connect your Google Drive account in n8n and authorize access. • Point the Google Drive Trigger node to this folder (new/modified files trigger the flow).

Search Worflow Docker Complete. Uses documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreSupabase, embeddingsOllama. Scheduled trigger; 71 nodes.

This workflow ingests incident and playbook content from GitHub into Supabase (including pgvector embeddings with Google Gemini) and, on a webhook trigger, enriches a test incident with historical mat

This consists 3 different workflows. Each one should be saved into individual workflows.

crawl4 ai. Uses documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreSupabase, embeddingsOllama. Scheduled trigger; 65 nodes.

Search Worflow Docker. Uses documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreSupabase, embeddingsOllama. Scheduled trigger; 65 nodes.

System Architecture Two integrated N8N workflows providing automated US stock portfolio management through Telegram:

leads. Uses supabase, gmail, formTrigger, httpRequest. Webhook trigger; 62 nodes.

This workflow exposes a POST webhook that turns a job description into a structured hiring brief using Groq, searches candidates across GitHub, LinkedIn (via Apify), Stack Overflow, and Hacker News, s

YouTube Agent. Uses supabase, agent, lmChatAnthropic, outputParserStructured. Webhook trigger; 56 nodes.

Fully automated blog creation system using n8n + AI Agents + Image Generation

Exact-Recall-Across-Collections. Uses supabase, postgres, documentDefaultDataLoader, textSplitterCharacterTextSplitter. Event-driven trigger; 49 nodes.

• Multi-Layer Message Analysis - Every customer interaction passes through three specialized AI classifiers: privacy detection (identifies sensitive data and security requirements), intent recognition

This workflow turns incoming WhatsApp messages (text, audio, images, and documents) into actionable support interactions by extracting content, detecting sentiment, and using an AI agent with a Supaba

Automated Book Generation System. Uses googleSheetsTrigger, gmail, lmChatOpenAi, outputParserStructured. Event-driven trigger; 43 nodes.

kisisel asistan. Uses toolWorkflow, toolHttpRequest, toolCalculator, toolThink. Scheduled trigger; 43 nodes.

Autonomous Ai Crawler. Uses toolWorkflow, lmChatOpenAi, outputParserStructured, manualTrigger. Event-driven trigger; 38 nodes.

Splitout Filter. Uses toolWorkflow, lmChatOpenAi, outputParserStructured, manualTrigger. Event-driven trigger; 38 nodes.

This workflow with AI agent is designed to navigate through the page to retrieve specific type of information (in this example: social media profile links).