AutomationFlows › Recipes › Chat Trigger → Ollama Chat

Chat Trigger → Ollama Chat

When you need Chat Trigger and Ollama Chat talking to each other, here are the 67 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair Chat Trigger with Ollama Chat

AI & RAG
🔥📈🤖 AI Agent for N8n Creators Leaderboard - Find Popular Workflows

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

HTTP Request, OpenAI Chat, Execute Workflow Trigger +6
AI & RAG
🔥📈🤖 AI Agent for N8n Creators Leaderboard - Find Popular Workflows (http Request)

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

HTTP Request, OpenAI Chat, Execute Workflow Trigger +6
AI & RAG
🔥📈🤖 AI Agent for N8n Creators Leaderboard - Find Popular Workflows (http Request) (http Request)

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

HTTP Request, OpenAI Chat, Execute Workflow Trigger +6
AI & RAG
Local_rag

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

Document Default Data Loader, Text Splitter Recursive Character Text Splitter, Chat Trigger +9
AI & RAG
Ejemplo RAG Vs Crag

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

Google Drive, Qdrant Vector Store, Ollama Embeddings +9
AI & RAG
Chat with Internal Documents Using Ollama, Supabase Vector Db & Google Drive

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,

Document Default Data Loader, Google Drive, Google Drive Trigger +10
AI & RAG
Business Canvas Generator

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

Chat Trigger, Agent, Ollama Chat
AI & RAG
Business Model Canvas Ai-powered Generator (llm Flexible)

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

Chat Trigger, Agent, Ollama Chat
AI & RAG
RAG Agent Integration Hub Mit Knowledge Management

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

Memory Postgres Chat, Ollama Chat, Lm Ollama +8
AI & RAG
Translate Questions About E-mails Into Sql Queries and Run Them

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

Read Write File, Chat Trigger, Postgres +3
AI & RAG
AI Agent to Chat with Snowflake Database (chat Trigger)

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

Chat Trigger, Agent, Memory Buffer Window +5
AI & RAG
Local RAG AI Agent

Local RAG AI Agent. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Event-driven trigger; 24 nodes.

Memory Postgres Chat, Ollama Chat, Lm Ollama +9
AI & RAG
V1 Ocal RAG AI Agent

V1 ocal RAG AI Agent. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Event-driven trigger; 24 nodes.

Memory Postgres Chat, Ollama Chat, Lm Ollama +9
AI & RAG
Generate B2b Lead Magnet Articles with AI Deep Research and Google Docs

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

Chat Trigger, Agent, HTTP Request +2
AI & RAG
V1 Local RAG AI Agent

V1 Local RAG AI Agent. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Event-driven trigger; 24 nodes.

Memory Postgres Chat, Ollama Chat, Lm Ollama +9
AI & RAG
V1 Local RAG AI Agent (memory Postgres Chat)

V1 Local RAG AI Agent. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Event-driven trigger; 24 nodes.

Memory Postgres Chat, Ollama Chat, Lm Ollama +9
AI & RAG
Agent: Local AI Rag: Ollama & Qdrant

Agent: Local AI RAG: Ollama & Qdrant. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Event-driven trigger; 24 nodes.

Memory Postgres Chat, Ollama Chat, Lm Ollama +9
AI & RAG
V2 Supabase RAG AI Agent

V2 Supabase RAG AI Agent. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Chat trigger; 23 nodes.

Memory Postgres Chat, Ollama Chat, Lm Ollama +10
AI & RAG
Build an On-premises AI Kaggle Competition Assistant with Qdrant RAG and Ollama

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).

Local File Trigger, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +10
AI & RAG
Agent: Local AI Rag: Ollama & Supabase Vector

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

Memory Postgres Chat, Ollama Chat, Lm Ollama +10
AI & RAG
Open Webui Agent with Web Search

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

Memory Postgres Chat, Chat Trigger, Agent +5
AI & RAG
Local RAG AI Agent with Knowledge Management

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

Memory Postgres Chat, Ollama Chat, Lm Ollama +8
AI & RAG
Create a Private Document Q&a System with Llama3, Postgres, Qdrant and Google Drive

⚠️ 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

Chat Trigger, Agent, Ollama Chat +9
AI & RAG
AI Privacy-minded Router: Pii Detection for Privacy, Security, & Compliance

Organizations need AI capabilities while ensuring:

Chat Trigger, Ollama Chat, Memory Buffer Window +2

See more Chat Trigger workflows · Ollama Chat workflows

FAQ

How do I trigger a Ollama Chat action from Chat Trigger?

Most workflows in this list use either a Chat Trigger webhook trigger (real-time) or a polling trigger (every N minutes). From there, downstream Ollama Chat nodes handle the action. Open any workflow's detail page to see the exact node graph.

Do I need both a Chat Trigger and a Ollama Chat account?

Yes — n8n connects to each integration via your own credentials. AutomationFlows strips credential IDs before publishing, so you'll add your own.

Are these Chat Trigger → Ollama Chat workflows free?

Yes — every workflow on AutomationFlows is free to browse and copy. Pro adds a multi-signal QualityScore on every workflow plus bulk JSON download.