n8n workflows for Ollama Chat.

Episode 11: AI shorts factory app. Uses httpRequest, googleSheets, lmChatOpenAi, lmChatOllama. Event-driven trigger; 96 nodes.

Influencer 2.0. Uses formTrigger, form, informationExtractor, lmChatOpenAi. Event-driven trigger; 93 nodes.

Episode 18 Scary Stories TikTok final. Uses httpRequest, lmChatOpenAi, lmChatOllama, lmChatDeepSeek. Event-driven trigger; 83 nodes.

My workflow 53. Uses formTrigger, httpRequest, lmChatOpenAi, form. Event-driven trigger; 74 nodes.

Episode 23: UGC with nanobanana. Uses lmChatOpenAi, lmChatOllama, lmChatDeepSeek, lmChatOpenRouter. Event-driven trigger; 74 nodes.

Episode 16: AI Poem TikTok videos community. Uses httpRequest, lmChatOpenAi, lmChatOllama, lmChatDeepSeek. Event-driven trigger; 71 nodes.

Scary Stories TikTok video - flux. Uses httpRequest, lmChatOpenAi, lmChatOllama, lmChatDeepSeek. Event-driven trigger; 65 nodes.

This workflow is for beauty salons who want consistent, high‑quality social media content without writing every post manually. It also suits agencies and automation builders who manage multiple beauty

This workflow is designed for marketers, content creators, agencies, and solo founders who want to publish long‑form posts with visuals on autopilot using n8n and AI agents. ​

Description

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

99problems. Uses agent, gmailTool, mattermostTool, googleSheets. Scheduled trigger; 55 nodes.

My workflow 30. Uses lmChatOpenAi, httpRequest, agent, lmChatOllama. Event-driven trigger; 52 nodes.

Episode 14: Seedance + ASMR. Uses lmChatOpenAi, agent, httpRequest, lmChatOllama. Event-driven trigger; 51 nodes.

Who Is This For?

This workflow is designed for organizations or services managing appointments, such as interview scheduling, class enrollments, or client meetings. It’s ideal for users who want to automate appointmen

This workflow is for solopreneurs, founders, creators, and marketers who want a consistent LinkedIn presence without spending hours writing posts. Ideal for anyone in tech, SaaS, or AI who wants trend

Video-To-Hugo. Uses httpRequest, lmChatOllama, moveBinaryData, youTube. Event-driven trigger; 47 nodes.

This workflow is built for founders, sales teams, solopreneurs, and agencies who want to automate outbound sales without expensive tools. Perfect for anyone doing cold email outreach who wants AI-powe

🚀 Create professional motivational videos automatically with zero API costs!

🔥📈🤖 AI Agent for n8n Creators Leaderboard - Find Popular Workflows. Uses httpRequest, limit, lmChatOpenAi, executeWorkflowTrigger. Event-driven trigger; 43 nodes.

🔥📈🤖 AI Agent for n8n Creators Leaderboard - Find Popular Workflows. Uses httpRequest, limit, lmChatOpenAi, executeWorkflowTrigger. Event-driven trigger; 43 nodes.

The n8n Creators Leaderboard Workflow is a powerful tool for analyzing and presenting detailed statistics about workflow creators and their contributions within the n8n community. It provides users wi

This workflow automatically converts uploaded documents and text into an AI-powered searchable knowledge base using semantic vector embeddings and Retrieval-Augmented Generation (RAG). Users can uploa

local_RAG. Uses documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, chatTrigger, memoryBufferWindow. Event-driven trigger; 39 nodes.

Rss-Daily. Uses @mendable/n8n-nodes-firecrawl, agent, gmail, lmChatOllama. Scheduled trigger; 38 nodes.

This workflow implements a privacy-preserving AI document processing pipeline that detects, masks, and securely manages Personally Identifiable Information (PII) before any AI processing occurs.

Auto Categorise Outlook Emails With Ai. Uses manualTrigger, stickyNote, lmChatOllama, microsoftOutlook. Event-driven trigger; 36 nodes.

Filter. Uses manualTrigger, stickyNote, lmChatOllama, microsoftOutlook. Event-driven trigger; 36 nodes.

Indexation. Uses formTrigger, embeddingsOllama, textSplitterRecursiveCharacterTextSplitter, modelSelector. Event-driven trigger; 36 nodes.

Multi-functional Discord Bot with Llama AI, Image Generation, and Knowledge Base Integration 🤖🎨🧠

Episode 15: Startup ideas for YC RFS. Uses lmChatOpenAi, googleSheets, agent, informationExtractor. Event-driven trigger; 33 nodes.

Collects articles from your preferred RSS feeds. Rates and tags each article using an AI model (e.g., QWEN 14B-s4), filtering for relevance and quality. Summarizes high-rated articles with a language

This workflow automatically converts incoming RSS/news articles into structured, AI-enriched content records. It uses a local AI model to summarize articles, extract metadata, and classify content bef

Build a fully local RAG chatbot using Ollama that works without tool calling — ideal for smaller open-source models like Qwen that don't support native function calls. This template lets you run a pri

An AI-powered n8n workflow that automatically tailors your resume to any job description by injecting relevant keywords — without touching your formatting, layout, or design.

ejemplo RAG vs CRAG. Uses googleDrive, vectorStoreQdrant, embeddingsOllama, agent. Event-driven trigger; 30 nodes.

This workflow is built for sales teams, agencies, and small businesses that receive inbound leads via WhatsApp and want to automate their first response, lead qualification, and CRM logging — without

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,

Streamlit Logibot. Uses notion, ollamaChatModel, lmChatOllama, googleDrive. Event-driven trigger; 29 nodes.

Business Canvas Generator. Uses chatTrigger, agent, lmChatOllama, convertToFile. Chat trigger; 28 nodes.

Startup founders validating or pitching new ideas Business consultants running strategy sessions Product teams defining business logic visually Agencies offering planning frameworks to clients

RAG Agent Integration Hub mit Knowledge Management. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Chat trigger; 27 nodes.

Translate questions about e-mails into SQL queries and run them. Uses convertToFile, readWriteFile, extractFromFile, chatTrigger. Chat trigger; 26 nodes.

Telegram bot. Uses telegramTrigger, embeddingsOllama, lmChatOllama, toolVectorStore. Event-driven trigger; 26 nodes.

SPRINT3_WORKFLOW. Uses agent, telegramTrigger, telegram, postgres. Event-driven trigger; 26 nodes.

Agente de Procesamiento de Documentos. Uses httpRequest, vectorStoreSupabase, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Scheduled trigger; 25 nodes.

AI Agent to chat with Snowflake database. Uses chatTrigger, agent, memoryBufferWindow, snowflakeTool. Chat trigger; 25 nodes.

Indexation. Uses formTrigger, embeddingsOllama, textSplitterRecursiveCharacterTextSplitter, modelSelector. Event-driven trigger; 25 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 workflow is built for B2B marketers, consultants, founders, and agency owners who need to produce high-quality, research-backed thought leadership content — without spending hours on research and

Tutorial Video

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.

This workflow is built for professionals, founders, freelancers, and anyone drowning in email who wants to automatically triage their inbox using AI — sorting emails into categories, applying Gmail la

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).

This automated n8n workflow streamlines real estate marketing by combining voice campaigns and email outreach with AI-powered lead generation. The system monitors real estate offers, generates persona

Agent: Local AI RAG: Ollama & Supabase Vector. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Chat trigger; 23 nodes.

Open WebUI Agent with Web Search. Uses memoryPostgresChat, chatTrigger, agent, executeWorkflowTrigger. Chat trigger; 22 nodes.

Local RAG AI Agent with Knowledge Management. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Chat trigger; 22 nodes.

This workflow automates compliance validation between a policy/procedure and a corresponding uploaded document. It leverages an AI agent to determine whether the content of the document aligns with th

This automation flow is designed to generate professional, research-backed LinkedIn posts based on a user-submitted topic and audience, enhance it with a visually aligned image prompt, and then automa

This workflow listens for incoming book request emails, extracts the user's intent using the Ollama LLM, queries book data (title, summary, details) via an API, and sends a personalized recommendation

An AI-powered, end-to-end interview preparation and mentoring automation system for campus placements. It enables placement cells to generate hyper-personalized 4-page interview preparation PDFs for s

AI Mail Assistant. Uses emailReadImap, lmChatOllama, n8n-nodes-imap, agent. Manual trigger; 21 nodes.

Trading bot: News Sentiment. Uses rssFeedRead, chainLlm, lmChatOllama, httpRequest. Scheduled trigger; 21 nodes.

ai agent flow. Uses httpRequest, agent, lmChatOllama, executeCommand. Webhook trigger; 21 nodes.

Early Warning Tracker. Uses agent, lmChatGoogleGemini, emailSend, slack. Scheduled trigger; 20 nodes.

⚠️ 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

Organizations need AI capabilities while ensuring:

This automated n8n workflow enables an AI-powered movie recommendation system on WhatsApp. Users send messages like "I want to watch a horror movie" or "Where can I watch the Jumanji movie?" The workf

AI agent that can scrape webpages. Uses chatTrigger, agent, executeWorkflowTrigger, httpRequest. Chat trigger; 20 nodes.

AI Stock Analysis Automation (EODHD + Google Sheets + AI). Uses googleSheets, httpRequest, agent, lmChatOpenAi. Event-driven trigger; 20 nodes.

n8n_ollama_pgvector. Uses chatTrigger, vectorStorePGVector, embeddingsGoogleGemini, documentDefaultDataLoader. Chat trigger; 20 nodes.

n8n_amin. Uses lmChatOllama, gmailTool, telegramTrigger, telegram. Event-driven trigger; 19 nodes.

InsightsLM - Chat. Uses lmChatOllama, outputParserStructured, chainLlm, vectorStoreSupabase. Webhook trigger; 19 nodes.

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 marketers, content creators, agency owners, and solopreneurs who want to automate LinkedIn content creation using AI. It helps turn Google Sheets entries into complete Li

This workflow helps you monitor domain expiration dates and send automated reminders via Telegram when a domain is about to expire or has already expired, using WHOIS data and AI-powered information e

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

Load Prompts from Github Repo and auto populate n8n expressions. Uses manualTrigger, github, extractFromFile, stopAndError. Event-driven trigger; 17 nodes.

Load Prompts from Github Repo and auto populate n8n expressions. Uses manualTrigger, github, extractFromFile, stopAndError. Event-driven trigger; 17 nodes.

Becomex v2. Uses chatTrigger, lmChatOllama, agent, toolWorkflow. Chat trigger; 17 nodes.

Sensibo-DAY. Uses httpRequest, openAi, outputParserStructured, postgres. Scheduled trigger; 17 nodes.

AI_QA. Uses chatTrigger, agent, lmChatOllama, n8n-nodes-mcp. Chat trigger; 17 nodes.

Sensibo-DARKNESS. Uses httpRequest, openAi, outputParserStructured, postgres. Scheduled trigger; 17 nodes.

Sensibo-DUSK. Uses httpRequest, openAi, outputParserStructured, postgres. Scheduled trigger; 17 nodes.

Sensibo-DAWN. Uses httpRequest, openAi, outputParserStructured, postgres. Scheduled trigger; 17 nodes.

This workflow is designed for AI engineers, automation specialists, and content creators who need a scalable system to dynamically manage prompts stored in GitHub. It eliminates manual updates, enforc

Title: Create a Privacy-Focused AI Assistant with Telegram, Ollama, and Whisper

Automated Lease Offer Generation using AI (Ollama model). Duplicate File Check to avoid reprocessing the same customer. Personalized Offer Letter creation based on customer details from Supabase. PDF/

Receive WhatsApp messages via Whapi, generate AI replies with a local Ollama model, log conversations in Google Sheets, and auto-capture leads — all without touching a cloud LLM.

This workflow creates content for your primary keywords in a Google Sheet by using SERP data and natural language skills of LLMs to create content at scale.

Rag-Strapi. Uses lmChatOllama, embeddingsOllama, chatTrigger, httpRequest. Chat trigger; 17 nodes.

Larry Llama. Uses agent, lmChatOllama, memoryPostgresChat, embeddingsOllama. Webhook trigger; 17 nodes.

🔐🦙🤖 Private & Local Ollama Self-Hosted LLM Router. Uses chatTrigger, stickyNote, lmChatOllama, agent. Chat trigger; 16 nodes.

RESEARCH_TOOL_FOR_begineer. Uses airtable, httpRequest, agent, lmChatOllama. Event-driven trigger; 16 nodes.

This workflow template is designed for AI enthusiasts, developers, and privacy-conscious users who want to leverage the power of local large language models (LLMs) without sending data to external ser

📖 Overview

Paiwan to Chinese api. Uses httpRequest, lmChatOllama, lmChatGroq, lmChatGoogleGemini. Event-driven trigger; 16 nodes.

This workflow triages emails with a local Ollama LLM (gemma4:e4b), flags urgent messages for immediate alerting, and compiles a morning digest grouped by urgency categories. Runs manually and generate

🐋DeepSeek V3 Chat & R1 Reasoning Quick Start. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 15 nodes.

🐋DeepSeek V3 Chat & R1 Reasoning Quick Start. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 15 nodes.

Github_To_Discord_Agent. Uses github, chainLlm, lmChatOllama, discord. Event-driven trigger; 15 nodes.

🐋DeepSeek V3 Chat & R1 Reasoning Quick Start. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 15 nodes.

This n8n workflow demonstrates multiple ways to harness DeepSeek's AI models in your automation pipeline! 🌟

This n8n workflow enables an AI-powered symptom checker where users input symptoms via a form or chat, analyzes them using an AI model, matches possible conditions, and suggests relevant doctors with

Schema. Uses githubTrigger, agentTool, lmChatOllama, outputParserStructured. Event-driven trigger; 15 nodes.

This workflow retrieves airline web check-in URLs from Google Sheets, scrapes their content, employs an LLM to generate structured JSON data, refreshes the sheet, creates embeddings, and saves them in

Discover hot prospects on Reddit who are actively discussing problems your product can solve - without spending hours manually searching and responding. This intelligent workflow automatically finds r

This n8n automation template allows marketers, branding teams, and creative professionals to auto-generate, evaluate, and iteratively optimize brand stories using Ollama-hosted LLMs and LangChain agen

This workflow is a simple example of using n8n as an AI chat interface into Appian. It connects a local LLM, persistent memory, and API tools to demonstrate how an agent can interact with Appian tasks

This automated n8n workflow enables AI-powered responses across multiple social media platforms, including Instagram DMs, Facebook messages, and WhatsApp chats using Meta's APIs. The system provides i

ET. Uses lmChatAzureOpenAi, lmChatOllama, httpRequest, agent. Scheduled trigger; 12 nodes.

News Aggregator. Uses rssFeedRead, agent, lmChatOllama, emailSend. Scheduled trigger; 11 nodes.

W_ADMIN_AGENT - Autonomous AI Admin Assistant. Uses httpRequest, agent, lmChatOllama, memoryBufferWindow. Webhook trigger; 11 nodes.

This AI-powered workflow reads emails, understands the request using an LLM, and creates structured Jira issues. Poll for new emails every 5 minutes; ensure Gmail/IMAP is properly configured. AI analy

Built by Setidure Technologies Automate intelligent, friendly replies to customer queries using AI, vector search, and Gmail — all without human effort.

News Data Push. Uses httpRequest, discord, agent, lmChatOllama. Scheduled trigger; 11 nodes.

ai-agent-wikipedia-n8n/. Uses agent, lmChatOllama. Event-driven trigger; 10 nodes.

This n8n workflow automatically fetches top technology news from Google News, summarizes it using AI, and sends a daily email with key updates. Users get a concise overview of important tech developme

This n8n template demonstrates how to create an intelligent food recipe assistant that accepts requests via Gmail and web forms, processes them using AI chat models (Ollama and Llama 3.2), and deliver

Content_Aggregation. Uses googleSheets, agent, lmChatOllama, httpRequest. Event-driven trigger; 10 nodes.

An intelligent WhatsApp-based chatbot designed for restaurants to automate customer interactions related to table bookings, menu inquiries, opening hours, services, and offers. Built using the n8n aut

This workflow auto-fetches top financial headlines, cleans the content, and uses AI to summarize it into a short investor-friendly email. The workflow runs daily and relies on stable webpage access; c

Roaster. Uses discord, lmChatOllama, chainLlm. Event-driven trigger; 9 nodes.

This automated n8n workflow streamlines the process of receiving, processing, and delivering patient-friendly lab reports with precautionary advice. 📧 Email Trigger → Monitors inbox for lab reports 📄

An AI-powered email marketing automation workflow that generates personalized marketing emails using data from Google Sheets and delivers them directly to clients. This workflow combines the power of

IDS AI - Chat with PDF Support. Uses agent, lmChatOllama. Webhook trigger; 7 nodes.

IDS AI - Chat Handler. Uses functionItem, lmChatOllama. Webhook trigger; 6 nodes.

Extract personal data with a self-hosted LLM Mistral NeMo. Uses chatTrigger, lmChatOllama, outputParserAutofixing, outputParserStructured. Chat trigger; 13 nodes.

Extract personal data with a self-hosted LLM Mistral NeMo. Uses chatTrigger, lmChatOllama, outputParserAutofixing, outputParserStructured. Chat trigger; 13 nodes.

RAG Pipeline. Uses formTrigger, vectorStoreQdrant, embeddingsOllama, documentDefaultDataLoader. Event-driven trigger; 13 nodes.

NGSS Agent v2.2 github. Uses memoryBufferWindow, toolWorkflow, chatTrigger, agent. Chat trigger; 13 nodes.

Click here to view the YouTube Tutorial

This workflow shows how to use a self-hosted Large Language Model (LLM) with n8n's LangChain integration to extract personal information from user input. This is particularly useful for enterprise env

Demo: RAG in n8n. Uses formTrigger, documentDefaultDataLoader, vectorStoreInMemory, agent. Event-driven trigger; 13 nodes.

Root Cause Mining. Uses agent, lmChatGoogleGemini, lmChatOllama, httpRequestTool. Scheduled trigger; 13 nodes.

Poc-Rag-Llm. Uses lmChatOllama, embeddingsOllama, chatTrigger, agent. Chat trigger; 12 nodes.

Provides one workflow to maintain the knowledge base and another one to query the knowledge base. Uploaded documents are saved into the Qdrant vector store. When a query is made, the most relevant doc

Overview This template allows users to set up an AI-powered chatbot that retrieves and processes knowledge from Google Drive documents using Retrieval-Augmented Generation (RAG). By leveraging Llama 3

Orquestador Normativa. Uses chatTrigger, textClassifier, lmChatOllama, agent. Chat trigger; 12 nodes.

RAG Agent. Uses vectorStoreInMemory, documentDefaultDataLoader, agent, lmChatOllama. Webhook trigger; 11 nodes.

Ai Summarizer. Uses agent, lmChatGoogleGemini, lmChatOllama, httpRequestTool. Webhook trigger; 11 nodes.

noc_zabbix_ai_triage_agent. Uses agent, memoryRedisChat, lmChatOllama, outputParserStructured. Webhook trigger; 11 nodes.

Ai Agent With Ollama For Current Weather And Wiki. Uses stickyNote, manualChatTrigger, toolWikipedia, memoryBufferWindow. Chat trigger; 10 nodes.

This workflow template demonstrates how to create an AI-powered agent that provides users with current weather information and Wikipedia summaries. By integrating n8n with Ollama's local Large Languag

This workflow is intended for online users who want and need workflow automation that minimizes link creation time and shortens links. This has an impact on the speed of work time and energy. In reali

Ollama-Mssql-Workflow. Uses chatTrigger, lmChatOllama, memoryBufferWindow, agent. Chat trigger; 7 nodes.

The Chef Agent is your AI-powered kitchen companion—ready to turn leftover ingredients into meal inspiration. It's a simple, fun n8n automation that: Accepts a list of ingredients via webhook Uses Oll

This n8n workflow automates personalized travel assistance via WhatsApp through a friendly virtual agent named Alex. It helps users plan trips, explore destinations, get visa/weather/hotel information

Firecrawl_WebScraping. Uses agent, lmChatOllama, chatTrigger, @mendable/n8n-nodes-firecrawl. Webhook trigger; 7 nodes.

Chat with a database using AI. Uses chatTrigger, postgresTool, memoryBufferWindow, agent. Chat trigger; 7 nodes.

Chat with a Postgress using AI. Uses chatTrigger, postgresTool, agent, lmChatOllama. Chat trigger; 6 nodes.

Chat → AI → Vikunja Task Creator. Uses chatTrigger, agent, lmChatOllama, outputParserStructured. Chat trigger; 6 nodes.

Example agent workflow. Uses chatTrigger, agent, lmChatOllama, httpRequestTool. Chat trigger; 6 nodes.

Chat with local LLMs using n8n and Ollama. Uses chatTrigger, lmChatOllama, stickyNote, chainLlm. Chat trigger; 5 nodes.

38-GPT-Oss. Uses telegramTrigger, agent, lmChatOllama, googleSheets. Event-driven trigger; 5 nodes.

This n8n workflow allows you to seamlessly interact with your self-hosted Large Language Models (LLMs) through a user-friendly chat interface. By connecting to Ollama, a powerful tool for managing loc

opengate. Uses agent, lmChatOllama, telegram. Webhook trigger; 5 nodes.

brightDataMCP. Uses chatTrigger, agent, lmChatOllama, memoryBufferWindow. Chat trigger; 5 nodes.

Chat with a database using AI. Uses chatTrigger, postgresTool, agent, lmChatOllama. Chat trigger; 5 nodes.

Wikipedia-ollama. Uses chatTrigger, agent, lmChatOllama, toolWikipedia. Chat trigger; 5 nodes.

findWebsite. Uses executeWorkflowTrigger, executeCommand, agent, lmChatOllama. Event-driven trigger; 4 nodes.

Poc-Meeting. Uses chatTrigger, agent, lmChatOllama. Chat trigger; 4 nodes.

YoutubeAgent. Uses executeWorkflowTrigger, agent, lmChatOllama. Event-driven trigger; 4 nodes.

Demo workflow. Uses chatTrigger, chainLlm, lmChatOllama. Chat trigger; 3 nodes.

Demo workflow. Uses chatTrigger, chainLlm, lmChatOllama. Chat trigger; 3 nodes.