Most-used Lmollama workflows
- Turn Telegram Voice Messages Into Gmail Emails and Google Calendar Events with Whisper and Ollama (56 nodes)
- Auto-summarize Blog Posts to Social Media with Gemma and Postiz — n8n Lmollama workflow (35 nodes)
- Generate Meeting Minutes From Videos with Whisper, Ollama LLM and Notion (33 nodes)
- Ejemplo RAG Vs Crag — n8n Lmollama workflow (30 nodes)
- Chat with Internal Documents Using Ollama, Supabase Vector Db & Google Drive (29 nodes)
- RAG Agent Integration Hub Mit Knowledge Management — n8n Lmollama workflow (27 nodes)
- Local RAG AI Agent (24 nodes)
- V1 Ocal RAG AI Agent — n8n Lmollama workflow (24 nodes)
- Automated Thai Content Creation & Publishing with Ollama, Gemini & Telegram (24 nodes)
- 🤖 Translation Agent — n8n Lmollama workflow (24 nodes)
This workflow is an AI-powered voice assistant that transforms natural language voice or text inputs into actionable productivity tasks such as professional emails and calendar events.Built using Whis
This workflow automates fetching the latest post from a Blogspot RSS feed, summarizes it with an LLM (e.g., Gemma via Ollama), extracts and uploads an image, generates three relevant hashtags, and pos
This workflow automatically transforms video recordings of meetings into structured, professional meeting minutes in Notion. It uses local AI models (Whisper for transcription and Ollama for summariza
ejemplo RAG vs CRAG. Uses googleDrive, vectorStoreQdrant, embeddingsOllama, agent. Event-driven trigger; 30 nodes.
Answers should given only within provided text. Chat interface powered by LLM (Ollama) Retrieval-Augmented Generation (RAG) using Supabase Vector DB Multi-format file support (PDF, Excel, Google Docs,
RAG Agent Integration Hub mit Knowledge Management. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Chat trigger; 27 nodes.
Local RAG AI Agent. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Event-driven trigger; 24 nodes.
V1 ocal RAG AI Agent. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Event-driven trigger; 24 nodes.
This n8n workflow is your all-in-one solution for automated content creation and publishing. It intelligently crafts unique articles in Thai, generates captivating AI images, and seamlessly publishes
🤖 Translation Agent. Uses executeWorkflowTrigger, chainLlm, lmOllama, httpRequest. Event-driven trigger; 24 nodes.
V1 Local RAG AI Agent. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Event-driven trigger; 24 nodes.
V1 Local RAG AI Agent. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Event-driven trigger; 24 nodes.
Agent: Local AI RAG: Ollama & Qdrant. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Event-driven trigger; 24 nodes.
V2 Supabase RAG AI Agent. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Chat trigger; 23 nodes.
An on-premises, domain-specific AI assistant for Kaggle (tested on binary disaster-tweet classification), combining LLM, an n8n workflow engine, and Qdrant-backed Retrieval-Augmented Generation (RAG).
Agent: Local AI RAG: Ollama & Supabase Vector. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Chat trigger; 23 nodes.
Local RAG AI Agent with Knowledge Management. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Chat trigger; 22 nodes.
This workflow automatically converts incoming Gmail messages into structured support tickets using AI classification. It assigns categories, generates a unique ticket ID, stores data in PostgreSQL, as
How it works Downloads markdown documents from a Google Drive folder containing private information, uses the Ollama model to identify and extract sensitive data, and stores the sanitized text in a si
⚠️ Note: This system only works for self-hosted n8n instances. It will not function on n8n.cloud or other remote setups. LocalRAG.AI is a private, on-prem AI assistant that uses your own documents to
Transform your meetings into actionable insights automatically! This workflow captures meeting audio, transcribes conversations, generates AI summaries, and emails the results to participants—all with
Detect Hallucinations Using Specialised Ollama Model Bespoke-Minicheck. Uses splitOut, chainLlm, lmChatOllama, manualTrigger. Event-driven trigger; 18 nodes.
Splitout Code. Uses splitOut, chainLlm, lmChatOllama, manualTrigger. Event-driven trigger; 18 nodes.
This workflow is designed for automated fact-checking of texts. It uses AI models to compare a given text with a list of facts and identify potential discrepancies or hallucinations. The workflow can
This workflow contains community nodes that are only compatible with the self-hosted version of n8n.
Becomex v2. Uses chatTrigger, lmChatOllama, agent, toolWorkflow. Chat trigger; 17 nodes.
Daily AI News Digest with RSS, Llama 3.2 Summarization & Telegram Delivery
Accept voice or text notes via Telegram
This advanced n8n workflow provides intelligent email automation with AI-generated responses. It combines four core functions: Monitors incoming emails via IMAP (e.g., SOGo) Sends instant Telegram not
This visual workflow represents an AI-powered automated CV filtering system created using tools like n8n, Google Drive, Google Sheets, and Ollama (LLM) ### 📂 Google Drive Integration – Automatically s
This template posts a clean, Slack-ready morning summary of your Google Tasks due today. It fetches tasks, filters only those due “today” in your timezone, asks a local LLM (via LangChain + Ollama) to
🗨️Ollama Chat. Uses chatTrigger, chainLlm, lmOllama, stickyNote. Chat trigger; 14 nodes.
Transform your local N8N instance into a powerful chat interface using any local & private Ollama model, with zero cloud dependencies ☁️. This workflow creates a structured chat experience that proces
Ma Extractor. Uses googleDrive, informationExtractor, lmOllama. Event-driven trigger; 13 nodes.
Built by Setidure Technologies This smart n8n automation extracts invoice details from PDF files uploaded to Google Drive using AI, logs them to a Google Sheet, and notifies the billing team via email
Built by Setidure Technologies Automate intelligent, friendly replies to customer queries using AI, vector search, and Gmail — all without human effort.
The workflow is triggered manually with user input, searches LinkedIn profiles, processes the results using AI, generates connection recommendations, and delivers them via email. It leverages AI to en
This n8n workflow automatically creates friendly, personalized travel itineraries based on messages received via email or WhatsApp. When a user says "I want to go to Dubai with friends for 5 days" or
In this guide, we’ll break down how to set up an AI-powered auto-reply system that works while you sleep. Ready to 10X your efficiency? Let’s dive in! AI-driven auto-responses for Email. Instant repli
In this guide, we’ll walk you through setting up an AI-driven workflow that automatically processes incoming emails using a custom AI model (e.g., Llama), prepares email content, and saves it as a Gma
This n8n workflow transforms uploaded health details or lab reports received via email into a customized diet plan using AI analysis, then sends the plan back to the user via email, optimizing nutriti
41 of 41 workflows in this view · Browse all →
FAQ
How many n8n Lmollama workflows are in the catalog?
41 n8n workflows in AutomationFlows currently use the Lmollama integration — triggers, actions, or both.
How do I connect Lmollama in n8n?
After importing the workflow JSON, n8n will prompt for Lmollama credentials on the relevant nodes. AutomationFlows strips credential IDs before publishing — you'll add your own.
Can I combine these with other integrations?
Yes — most Lmollama workflows pair with adjacent tools (Slack alerts, Google Sheets logging, OpenAI summarisation). Browse the integration tags on each workflow page to discover pairings.