Generate LinkedIn posts using Telegram, Supabase vector DB and OpenAI RAG
Ready for 3.0What this workflow does
This AI workflow has 25 nodes and runs on Telegram events (message) (plus 1 other trigger). Along the way it connects Telegram, Supabase Vector Store, Embeddings OpenAI and OpenAI Chat Model and 2 more.
How it runs
Trigger: On Telegram events (message) (plus 1 other trigger).
- If: checks a condition and branches into true / false
- Typing.... (Telegram): send chat action
- Hook Analyse Agent (AI Agent): runs an AI agent, with model: 4o mini, 2.5-flash; output parser: Structured Output Parser
- LinkedIn Post URL (HTTP Request): calls an HTTP API
- Wrong URL (Telegram): uses Telegram
- Post Structure Agent (AI Agent): runs an AI agent, with model: 4o mini, 2.5-flash; output parser: Structured Output Parser
- Scrap Content (HTML): parses or builds HTML
- Unable to Scrape (Telegram): uses Telegram
- Post Generator Agent (AI Agent): runs an AI agent, with model: 4o mini, 2.5-flash; 1 tool (Supabase Vector Store); output parser: Structured Output Parser
- Upload Document (Supabase Vector Store): stores documents in the Supabase vector store, with embeddings: Embeddings; document loader: Data Loader
…plus 3 more steps. See the full node list below.
Services it uses
Scraping pages by hand? Firecrawl is a simpler option (10% off for new users).
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (15)
- Telegram Trigger
n8n-nodes-base.telegramTrigger - If
n8n-nodes-base.if - Telegram
n8n-nodes-base.telegram - HTTP Request
n8n-nodes-base.httpRequest - HTML
n8n-nodes-base.html - Supabase Vector Store
@n8n/n8n-nodes-langchain.vectorStoreSupabase - Default Data Loader
@n8n/n8n-nodes-langchain.documentDefaultDataLoader - Embeddings OpenAI
@n8n/n8n-nodes-langchain.embeddingsOpenAi - Code
n8n-nodes-base.code - n8n Form Trigger
n8n-nodes-base.formTrigger - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - LinkedIn
n8n-nodes-base.linkedIn
From the author
Overview AI-powered n8n workflow that creates viral LinkedIn posts by learning from successful content. Features two modules: (1) Telegram-based scraper that builds a vector database of viral LinkedIn posts, and (2) Web form that generates optimized posts…