AutomationFlowsRecipes › Chainllm → Textclassifier

Chainllm → Textclassifier

When you need Chainllm and Textclassifier talking to each other, here are the 78 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 Textclassifier

AI & RAG

Bread-Meat-Delivery. Uses lmChatOpenAi, agent, httpRequest, redis. Webhook trigger; 91 nodes.

OpenAI Chat, Agent, HTTP Request +14
AI & RAG

AI Customer Service Automation - Portfolio. Uses googleSheets, httpRequest, agent, memoryBufferWindow. Webhook trigger; 91 nodes.

Google Sheets, HTTP Request, Agent +9
AI & RAG

> Transform Your Email Workflow with Intelligent Automation

Chain Llm, Microsoft Outlook Trigger, Information Extractor +8
Data & Sheets

Agendamento advocacia_MAIN. Uses redis, openAi, httpRequest, supabase. Webhook trigger; 75 nodes.

Redis, OpenAI, HTTP Request +7
AI & RAG

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

Custom, Form Trigger, Execute Workflow Trigger +23
Email & Gmail

✨🔪 Advanced AI Powered Document Parsing & Text Extraction with Llama Parse. Uses gmail, gmailTrigger, limit, stickyNote. Webhook trigger; 54 nodes.

Gmail, Gmail Trigger, HTTP Request +6
AI & RAG

This workflow automates document processing using LlamaParse to extract and analyze text from various file formats. It intelligently processes documents, extracts structured data, and delivers actiona

Gmail, Gmail Trigger, HTTP Request +6
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

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
Data & Sheets

• Multi-Layer Message Analysis - Every customer interaction passes through three specialized AI classifiers: privacy detection (identifies sensitive data and security requirements), intent recognition

OpenAI, OpenAI Chat, Tool Think +13
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
AI & RAG

Turn your cluttered inbox into a smart, autonomous assistant that categorizes emails, replies to leads, checks your calendar, and notifies you on Telegram—all without lifting a finger.

Gmail Trigger, Text Classifier, OpenAI Chat +11
AI & RAG

Email AI Auto-responder. Summerize and send email. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 41 nodes.

Email Read Imap, OpenAI Chat, Email Send +11
AI & RAG

Email AI Auto-responder. Summerize and send email. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 41 nodes.

Email Read Imap, OpenAI Chat, Email Send +11
AI & RAG

Automate Customer Support Issue Resolution Using Ai Text Classifier. Uses lmChatOpenAi, scheduleTrigger, jira, outputParserStructured. Scheduled trigger; 36 nodes.

OpenAI Chat, Jira, Output Parser Structured +8
AI & RAG

Jiratool Schedule. Uses lmChatOpenAi, scheduleTrigger, jira, outputParserStructured. Scheduled trigger; 36 nodes.

OpenAI Chat, Jira, Output Parser Structured +8
AI & RAG

This n8n template is designed to assist and improve customer support team member capacity by automating the resolution of long-lived and forgotten JIRA issues. Schedule Trigger runs daily to check for

OpenAI Chat, Jira, Output Parser Structured +8
AI & RAG

Automate Customer Support Issue Resolution using AI Text Classifier. Uses lmChatOpenAi, jira, outputParserStructured, slack. Scheduled trigger; 36 nodes.

OpenAI Chat, Jira, Output Parser Structured +8
AI & RAG

Thread-Backend. Uses httpRequest, lmChatAnthropic, textClassifier, chainLlm. Webhook trigger; 35 nodes.

HTTP Request, Anthropic Chat, Text Classifier +1
AI & RAG

This scheduled workflow scans Jira for long-lived unresolved issues, uses OpenAI to classify their status and sentiment, searches Notion and similar Jira issues for answers, then posts reminders or re

OpenAI Chat, Jira, Output Parser Structured +8
AI & RAG

This workflow ingests published Notion knowledge base articles into an in-memory vector store using Cohere embeddings, then monitors a support Gmail inbox and uses Groq to draft grounded reply emails

Notion, In-Memory Vector Store, Document Default Data Loader +8
AI & RAG

Draft grounded support replies from a Notion knowledge base using Groq and Gmail. Uses notion, vectorStoreInMemory, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven

Notion, In-Memory Vector Store, Document Default Data Loader +8

See more Chainllm workflows · Textclassifier workflows

FAQ

How do I trigger a Textclassifier 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 Textclassifier nodes handle the action. Open any workflow's detail page to see the exact node graph.

Do I need both a Chainllm and a Textclassifier 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 → Textclassifier 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.