AutomationFlowsRecipes › Chainllm → Chat Trigger

Chainllm → Chat Trigger

When you need Chainllm and Chat Trigger talking to each other, here are the 138 n8n workflows in the catalog that already do it. Each is integration-tagged and privacy-stripped — copy the JSON and import.

Workflows that pair Chainllm with Chat Trigger

AI & RAG

⚠️ DISCLAIMER: This workflow uses the AnySite LinkedIn community node, which is only available on self-hosted n8n instances. It will not work on n8n.cloud.

OpenAI Chat, Output Parser Structured, Google Sheets +6
AI & RAG

My Workflow. Uses outputParserStructured, httpRequest, lmChatGoogleGemini, chainLlm. Scheduled trigger; 82 nodes.

Output Parser Structured, HTTP Request, Google Gemini Chat +15
AI & RAG

This comprehensive workflow automates the complete financial document processing pipeline using AI. Upload invoices via chat, drop expense receipts into a folder, or add bank statements - the system a

Chat Trigger, HTTP Request, Google Sheets +8
AI & RAG

• 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).

Agent, Chat Trigger, Memory Buffer Window +14
Social Media

This workflow is built for creators, solopreneurs, SaaS founders, and agencies looking to automate their social media content process from idea to publication. It combines the power of OpenAI, Google

OpenAI Chat, Tool Workflow, Agent +15
AI & RAG

⚡AI-Powered YouTube Playlist & Video Summarization and Analysis v2. Uses lmChatGoogleGemini, agent, splitOut, chainLlm. Chat trigger; 72 nodes.

Google Gemini Chat, Agent, Chain Llm +11
AI & RAG

Agent Nodes. Uses lmChatOpenAi, slack, stopAndError, errorTrigger. Event-driven trigger; 72 nodes.

OpenAI Chat, Slack, Stop And Error +12
AI & RAG

This n8n workflow transforms entire YouTube playlists or single videos into interactive knowledge bases you can chat with. Ask questions and get summaries without needing to watch hours of content. 🔗

Google Gemini Chat, Agent, Chain Llm +11
AI & RAG

AI-Powered YouTube Playlist & Video Summarization and Analysis v2. Uses lmChatGoogleGemini, agent, chainLlm, vectorStoreQdrant. Chat trigger; 72 nodes.

Google Gemini Chat, Agent, Chain Llm +11
AI & RAG

Template Nodes Example. Uses CUSTOM, formTrigger, executeWorkflowTrigger, chatTrigger. Event-driven trigger; 70 nodes.

Custom, Form Trigger, Execute Workflow Trigger +23
AI & RAG

This workflow ingests onboarding documents from Google Drive into an in-memory vector store with Google Gemini embeddings, then runs a multi-channel onboarding chatbot powered by Groq, sends role-base

Google Drive, In-Memory Vector Store, Google Gemini Embeddings +14
Data & Sheets

This template is ideal for B2B founders, solopreneurs, growth marketers, SDRs, or anyone looking to scale their lead generation and enrichment with no-code tools to low-code tools.

Google Sheets, OpenRouter Chat, Chain Llm +4
AI & RAG

Forscher_Workflow. Uses chatTrigger, chainLlm, lmChatOpenAi, toolWorkflow. Chat trigger; 61 nodes.

Chat Trigger, Chain Llm, OpenAI Chat +2
AI & RAG

Final. Uses chatTrigger, agent, n8n-nodes-upstage, httpRequest. Chat trigger; 55 nodes.

Chat Trigger, Agent, N8N Nodes Upstage +10
AI & RAG

The original LLM Council concept was introduced by Andrej Karpathy and published as an open-source repository demonstrating multi-model consensus and ranking. This workflow is my adaptation of that or

Chat Trigger, Chain Llm, OpenRouter Chat +8
AI & RAG

Code Extractfromfile. Uses manualTrigger, sort, httpRequest, compression. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
AI & RAG

BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14
AI & RAG

BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses manualTrigger, documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 50 nodes.

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14
AI & RAG

2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
AI & RAG

Workflow 2464. Uses httpRequest, compression, editImage, documentDefaultDataLoader. Event-driven trigger; 50 nodes.

HTTP Request, Compression, Edit Image +15
AI & RAG

Are you a popular tech startup accelerator (named after a particular higher order function) overwhelmed with 1000s of pitch decks on a daily basis? Wish you could filter through them quickly using AI

HTTP Request, Compression, Edit Image +15
AI & RAG

This workflow enables companies to provide instant HR support by automating responses to employee queries about policies and benefits: Retrieves company policies, benefits, and HR documents from Bambo

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14
AI & RAG

BambooHR AI-Powered Company Policies and Benefits Chatbot. Uses documentDefaultDataLoader, embeddingsOpenAi, textSplitterRecursiveCharacterTextSplitter, memoryBufferWindow. Event-driven trigger; 50 no

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14
AI & RAG

This workflow ingests company policy PDFs from BambooHR into a Supabase vector database and provides an employee chat interface that answers policy and benefits questions using OpenAI, with an additio

Document Default Data Loader, OpenAI Embeddings, Text Splitter Recursive Character Text Splitter +14

See more Chainllm workflows · Chat Trigger workflows

FAQ

How do I trigger a Chat Trigger action from Chainllm?

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

Do I need both a Chainllm and a Chat Trigger 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 Chainllm → Chat Trigger 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.