AutomationFlowsRecipes › Chainllm → Chainsummarization

Chainllm → Chainsummarization

When you need Chainllm and Chainsummarization talking to each other, here are the 53 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 Chainsummarization

AI & RAG

Resume Screening & Behavioral Interviews with Gemini, Elevenlabs, & Notion ATS copy. Uses outputParserStructured, chainLlm, googleDrive, stickyNote. Webhook trigger; 67 nodes.

Output Parser Structured, Chain Llm, Google Drive +9
AI & RAG

Candidate Engagement | Resume Screening | AI Voice Interviews | Applicant Insights

Output Parser Structured, Chain Llm, Google Drive +9
AI & RAG

This end-to-end AI-powered recruitment automation workflow helps HR and talent acquisition teams automate the complete hiring pipeline—from resume intake and parsing to GPT-4-based evaluation, TA appr

Form Trigger, Output Parser Structured, Google Drive +10
AI & RAG

Breakdown Documents Into Study Notes Using Templating Mistralai And Qdrant. Uses localFileTrigger, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsMistralCloud. Event-

Local File Trigger, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +9
AI & RAG

Localfile Wait. Uses localFileTrigger, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsMistralCloud. Event-driven trigger; 42 nodes.

Local File Trigger, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +9
AI & RAG

Workflow 2339. Uses localFileTrigger, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, embeddingsMistralCloud. Event-driven trigger; 42 nodes.

Local File Trigger, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +9
AI & RAG

This n8n workflow takes in a document such as a research paper, marketing or sales deck or company filings, and breaks them down into 3 templates: study guide, briefing doc and timeline.

Local File Trigger, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +9
Email & Gmail

What it does

Reddit, Execute Workflow Trigger, OpenRouter Chat +3
AI & RAG

Telegram ChatBot with multiple sessions. Uses lmChatOpenAi, memoryBufferWindow, telegramTrigger, googleSheets. Event-driven trigger; 38 nodes.

OpenAI Chat, Memory Buffer Window, Telegram Trigger +5
AI & RAG

This workflow creates an AI-powered Telegram chatbot with session management, allowing users to: Start new conversations (). Check current sessions (). Resume past sessions (). Get summaries (). Ask q

OpenAI Chat, Memory Buffer Window, Telegram Trigger +5
AI & RAG

This workflow automates the process of analyzing emails and their attachments (PDFs and images) using AI models (DeepSeek, Gemini, and OpenRouter). It extracts and summarizes the content of emails and

Email Read Imap, OpenAI Chat, Chain Summarization +7
AI & RAG

This template is ideal for HR teams, recruiters, staffing agencies, and tech-enabled hiring managers looking to automate the intake, analysis, and shortlisting of job applicants directly from CV submi

Form Trigger, Output Parser Structured, Google Drive +6
AI & RAG

SLW Commentaries. Uses httpRequest, xml, lmChatOpenAi, chainLlm. Scheduled trigger; 28 nodes.

HTTP Request, XML, OpenAI Chat +2
AI & RAG

Email AI Auto-responder. Summerize and send email. Uses emailReadImap, markdown, lmChatOpenAi, emailSend. Event-driven trigger; 26 nodes.

Email Read Imap, OpenAI Chat, Email Send +10
AI & RAG

Email AI Auto-responder. Summerize and send email. Uses emailReadImap, markdown, lmChatOpenAi, emailSend. Event-driven trigger; 26 nodes.

Email Read Imap, OpenAI Chat, Email Send +10
AI & RAG

Email AI Auto-responder. Summerize and send email. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 26 nodes.

Email Read Imap, OpenAI Chat, Email Send +10
AI & RAG

AI-Powered Email Automation with RAG. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 26 nodes.

Email Read Imap, OpenAI Chat, Email Send +10
AI & RAG

Email AI Auto-responder. Summerize and send email. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 26 nodes.

Email Read Imap, OpenAI Chat, Email Send +10
AI & RAG

Email AI Auto-responder. Summerize and send email. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 26 nodes.

Email Read Imap, OpenAI Chat, Email Send +10
AI & RAG

This workflow is ideal for businesses looking to automate their email responses, especially for handling inquiries about company information. It leverages AI to ensure accurate and professional commun

Email Read Imap, OpenAI Chat, Email Send +10
AI & RAG

Community nodes can only be installed on self-hosted instances of n8n.

N8N Nodes Mcp, Chain Summarization, Information Extractor +6
AI & RAG

Email AI Auto-responder. Summerize and send email. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 26 nodes.

Email Read Imap, OpenAI Chat, Email Send +10
AI & RAG

AI-Powered Email Automation for Business: Summarize & Respond with RAG. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 26 nodes.

Email Read Imap, OpenAI Chat, Email Send +10
AI & RAG

Email AI Auto-responder. Summerize and send email. Uses emailReadImap, lmChatOpenAi, emailSend, vectorStoreQdrant. Event-driven trigger; 26 nodes.

Email Read Imap, OpenAI Chat, Email Send +10

See more Chainllm workflows · Chainsummarization workflows

FAQ

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

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