AutomationFlows › Chainsummarization

n8n workflows for Chainsummarization.

All n8n workflows that use the Chainsummarization integration. Each is integration-tagged, privacy-stripped, and importable into your n8n instance in one click.

Most-used Chainsummarization workflows

  1. Resume Screening & Behavioral Interviews with Gemini, Elevenlabs, & Notion Ats Copy (67 nodes)
  2. Resume Screening & Behavioral Interviews with Gemini, Elevenlabs, & Notion Ats — n8n Chainsummarization workflow (67 nodes)
  3. Evaluate AI Workflows Using Google Sheets, Gemini, Claude, Gpt, and Perplexity (64 nodes)
  4. Save Time Hiring with Ai: Automate Screening, Assessments & Interviews — n8n Chainsummarization workflow (60 nodes)
  5. Breakdown Documents Into Study Notes Using Templating Mistralai and Qdrant (42 nodes)
  6. Localfile Wait — n8n Chainsummarization workflow (42 nodes)
  7. Workflow 2339 (42 nodes)
  8. Breakdown Documents Into Study Notes Using Templating Mistralai and Qdrant (local File Trigger) — n8n Chainsummarization workflow (42 nodes)
  9. 2339 (42 nodes)
  10. Email AI Auto-responder. Summerize and Send Email (email Read Imap) (email Read Imap) (email Read Imap) (email Read Imap) (email Read Imap) (email Read Imap) (email Read Imap) — n8n Chainsummarization workflow (41 nodes)
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 template and YouTube video goes over 5 different implementations of evaluations within n8n. Categorization Correctness Tools used String similarity Helpfulness

Evaluation, Evaluation Trigger, Google Gemini Chat +8
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
AI & RAG

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

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
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 is designed to process PDF documents using Mistral's OCR capabilities, store the extracted text in a Qdrant vector database, and enable Retrieval-Augmented Generation (RAG) for answering

HTTP Request, OpenAI Embeddings, Document Default Data Loader +9
Social Media

This n8n workflow is designed for content creators, bloggers, digital marketers, and social media managers who want to fully automate their content distribution pipeline. The workflow creates an end-t

Rss Feed Read Trigger, OpenAI, WordPress +10
AI & RAG

Effortless Email Management with AI. Uses emailReadImap, markdown, emailSend, vectorStoreQdrant. Event-driven trigger; 31 nodes.

Email Read Imap, Email Send, Qdrant Vector Store +11
AI & RAG

Effortless Email Management with AI. Uses emailReadImap, markdown, emailSend, vectorStoreQdrant. Event-driven trigger; 31 nodes.

Email Read Imap, Email Send, Qdrant Vector Store +11
AI & RAG

This workflow automates the handling of incoming emails, summarizes their content, generates appropriate responses using a retrieval-augmented generation (RAG) approach, and obtains approval or sugges

Email Read Imap, Email Send, Qdrant Vector Store +11
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

Agent IA Factures. Uses telegramTrigger, lmChatOpenAi, agent, airtableTool. Event-driven trigger; 31 nodes.

Telegram Trigger, OpenAI Chat, Agent +9
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

This workflow is designed for IT teams, service desk agents, and operations managers who use ServiceNow. It reduces manual effort by automatically classifying chat messages as Incidents or Requests, c

Chat Trigger, OpenAI Chat, Text Classifier +7
AI & RAG

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

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

n8n-4-1: Qdrant. Uses vectorStoreQdrant, embeddingsOpenAi, textClassifier, chainSummarization. Event-driven trigger; 27 nodes.

Qdrant Vector Store, OpenAI Embeddings, Text Classifier +11
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
AI & RAG

AI-powered Email Auto-responder with Qdrant Knowledge Base. 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

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 template is ideal for IT support teams, internal helpdesk automation engineers, and developers building intelligent ticketing systems. It helps streamline ITSM workflows by automatically classify

Agent, Google Gemini Chat, Memory Buffer Window +8
General

Brand Content Extract, Summarize & Sentiment Analysis with Bright Data. Uses manualTrigger, stickyNote, chainLlm, informationExtractor. Event-driven trigger; 23 nodes.

Chain Llm, Information Extractor, HTTP Request +3
AI & RAG

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

The Brand Content Extract, Summarization & Sentiment Analysis workflow is designed for professionals and teams who need to monitor, understand, and act on public brand perception at scale.

Chain Llm, Information Extractor, HTTP Request +3
AI & RAG

This n8n workflow template is designed for customer support, CX, and ops teams that manage customer messages through HubSpot and use Jira for internal task management. It is especially useful for SaaS

HubSpot, OpenAI Chat, Execute Workflow Trigger +7
AI & RAG

This workflow transforms any webpage into an AI-narrated audio summary delivered via WhatsApp: Receive URL - WhatsApp Trigger captures incoming messages and passes them to URL extraction Extract & val

WhatsApp, OpenAI, WhatsApp Trigger +6
AI & RAG

Analyze Reddit Posts with AI to Identify Business Opportunities. Uses manualTrigger, lmChatOpenAi, sentimentAnalysis, gmail. Event-driven trigger; 22 nodes.

OpenAI Chat, Sentiment Analysis, Gmail +5
AI & RAG

Use case Manually monitoring Reddit for viable business ideas is time-consuming and inconsistent. This workflow automatically analyzes trending Reddit discussions using AI to surface high-potential op

OpenAI Chat, Sentiment Analysis, Gmail +5
AI & RAG

I made this little workflow with care for people like you who are part of busy WhatsApp groups and want a simple way to keep track of everything.

Google Drive, Google Sheets, OpenAI Chat +2
AI & RAG

The TrustPilot SaaS Product Review Tracker is designed for product managers, SaaS growth teams, customer experience analysts, and marketing teams who need to extract, summarize, and analyze customer f

HTTP Request, Chain Llm, Information Extractor +4
AI & RAG

Staying up-to-date with AI and LLM developments requires reading dozens of articles every week. Manual research is time-consuming and often leads to “information overload” or reading low-quality click

Chain Summarization, Agent, Gmail +3
AI & RAG

An automated workflow that processes job applications by analyzing CVs/resumes submitted through a form and intelligently routing candidates based on qualification criteria.

Form Trigger, Chain Summarization, Text Classifier +6
AI & RAG

The Crunchbase B2B Lead Discovery Pipeline is designed for sales teams, B2B marketers, business analysts, and data operations teams who need a reliable way to extract, structure, and summarize company

HTTP Request, Chain Llm, Google Sheets +4
AI & RAG

This n8n template demonstrates how you can generate an AI-produced weather analysis of your local radar loop and home assistant precipitation sensor(s) to keep your family informed of National Weather

HTTP Request, OpenAI, Home Assistant +2
AI & RAG

Sign up for Decodo — get better pricing here

@Decodo/N8N Nodes Decodo, Google Gemini Chat, Output Parser Structured +5
AI & RAG

Ai Summarize Podcast Episode And Enhance Using Wikipedia. Uses manualTrigger, documentJsonInputLoader, textSplitterRecursiveCharacterTextSplitter, stickyNote. Event-driven trigger; 19 nodes.

Document Json Input Loader, Text Splitter Recursive Character Text Splitter, Item Lists +7
AI & RAG

Indeed Company Data Scraper & Summarization with Airtable, Bright Data and Google Gemini. Uses manualTrigger, lmChatGoogleGemini, toolHttpRequest, stickyNote. Event-driven trigger; 19 nodes.

Google Gemini Chat, Tool Http Request, HTTP Request +4
AI & RAG

Podcast Digest. Uses manualTrigger, documentJsonInputLoader, textSplitterRecursiveCharacterTextSplitter, stickyNote. Event-driven trigger; 19 nodes.

Document Json Input Loader, Text Splitter Recursive Character Text Splitter, Item Lists +7
General

Generate Company Stories from LinkedIn with Bright Data & Google Gemini. Uses manualTrigger, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven tri

Google Gemini Chat, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +3
General

Extract & Summarize Bing Copilot Search Results with Gemini AI and Bright Data. Uses manualTrigger, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-dri

Google Gemini Chat, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +4
AI & RAG

aiNodes. Uses openAi, gmailTool, chainLlm, lmChatOpenAi. Event-driven trigger; 19 nodes.

OpenAI, Gmail Tool, Chain Llm +11
AI & RAG

🚀 AI Resume Screener (n8n Workflow Template)

Form Trigger, Information Extractor, Chain Summarization +5
AI & RAG

Indeed Data Scraper & Summarization with Airtable, Bright Data and Google Gemini is an automated workflow that extracts company profile information from Indeed using Bright Data Web Unlocker, transfor

Google Gemini Chat, Tool Http Request, HTTP Request +4
AI & RAG

The LinkedIn Company Story Generator is an automated workflow that extracts company profile data from LinkedIn using Bright Data's web scraping infrastructure, then transforms that data into a profess

Google Gemini Chat, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +3
AI & RAG

This workflow automates the process of querying Bing's Copilot Search, extracting structured data from the results, summarizing the information, and sending a notification via webhook. It leverages th

Google Gemini Chat, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +4
AI & RAG

HR-focused automation pipeline with AI. Uses formTrigger, extractFromFile, informationExtractor, chainSummarization. Event-driven trigger; 18 nodes.

Form Trigger, Information Extractor, Chain Summarization +5
General

HR-focused automation pipeline with AI. Uses formTrigger, extractFromFile, informationExtractor, chainSummarization. Event-driven trigger; 18 nodes.

Form Trigger, Information Extractor, Chain Summarization +5
AI & RAG

Splitout Code. Uses manualTrigger, stickyNote, documentDefaultDataLoader, lmChatOpenAi. Event-driven trigger; 18 nodes.

Document Default Data Loader, OpenAI Chat, Agent +5
AI & RAG

Reddit Small Business Researcher. Uses reddit, lmChatOpenAi, chainSummarization, supabase. Webhook trigger; 18 nodes.

Reddit, OpenAI Chat, Chain Summarization +3
AI & RAG

This workflow automates the process of handling job applications by extracting relevant information from submitted CVs, analyzing the candidate's qualifications against a predefined profile, and stori

Form Trigger, Information Extractor, Chain Summarization +5
AI & RAG

The workflow automates the process of creating a summarized and enriched podcast digest, which is then sent via email.

Document Default Data Loader, OpenAI Chat, Agent +5
AI & RAG

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Discord, OpenAI Chat, HTTP Request +3
AI & RAG

Teams that collect product feedback with Jotform and want automated triage: instant alerts for urgent issues, knowledge-based replies to questions, and a clean backlog for suggestions.

Jot Form Trigger, Google Gemini Chat, Sentiment Analysis +6
AI & RAG

34-ai-automated-hr-workflow-for-cv-analysis-and-candidate-evaluation. Uses formTrigger, informationExtractor, chainSummarization, googleSheets. Event-driven trigger; 18 nodes.

Form Trigger, Information Extractor, Chain Summarization +5
AI & RAG

AI Email processing autoresponder with approval (Yes/No). Uses emailReadImap, markdown, lmChatOpenAi, emailSend. Manual trigger; 17 nodes.

Email Read Imap, OpenAI Chat, Email Send +5
AI & RAG

AI Email processing autoresponder with approval (Yes/No). Uses emailReadImap, markdown, lmChatOpenAi, emailSend. Manual trigger; 17 nodes.

Email Read Imap, OpenAI Chat, Email Send +5
Social Media

Manual Googlesheets. Uses manualTrigger, chainSummarization, googleSheets, reddit. Event-driven trigger; 17 nodes.

Chain Summarization, Google Sheets, Reddit +2
General

Search & Summarize Web Data with Perplexity, Gemini AI & Bright Data to Webhooks. Uses manualTrigger, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-d

Google Gemini Chat, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +3
General

Automated Resume Review System Using OpenAI + Google Sheets. Uses formTrigger, outputParserStructured, googleSheets, informationExtractor. Event-driven trigger; 17 nodes.

Form Trigger, Output Parser Structured, Google Sheets +5
AI & RAG

This workflow is designed to automate the process of handling incoming emails, summarizing their content, generating appropriate responses, and obtaining approval before sending replies. Below are the

Email Read Imap, OpenAI Chat, Email Send +5
AI & RAG

Who is this for? This workflow is ideal for: HR teams and recruiters seeking to streamline resume screening. Hiring managers who want quick, summarized candidate insights. Recruitment agencies handlin

Form Trigger, Output Parser Structured, Google Sheets +5
AI & RAG

This workflow is designed for professionals and teams who need real-time, structured insights from Perplexity Search results without manual effort.

Google Gemini Chat, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +3
AI & RAG

This comprehensive automation solution targets FSBO properties listed on Zillow that have recently had their price reduced, providing both investment analysis and tailored outreach scripts. The workfl

Form Trigger, HTTP Request, Execute Workflow Trigger +4
AI & RAG

This workflow automates the entire search process: every week, it uses Decodo’s reliable scraping engine to scan the web for fresh opportunities in your region and industry — no manual searching, no e

Google Gemini Chat, @Decodo/N8N Nodes Decodo, Chain Summarization +2
AI & RAG

Sign up for Decodo — get better pricing here

@Decodo/N8N Nodes Decodo, Information Extractor, OpenAI Chat +4
AI & RAG

Very simple Human in the loop system email with AI e IMAP. Uses emailReadImap, markdown, emailSend, chainSummarization. Manual trigger; 16 nodes.

Email Read Imap, Email Send, Chain Summarization +2
AI & RAG

Very simple Human in the loop system email with AI e IMAP. Uses emailReadImap, markdown, emailSend, chainSummarization. Manual trigger; 16 nodes.

Email Read Imap, Email Send, Chain Summarization +2
AI & RAG

ERP AI chatbot for Odoo sales module. Uses memoryBufferWindow, lmChatOpenAi, toolCalculator, scheduleTrigger. Scheduled trigger; 16 nodes.

Memory Buffer Window, OpenAI Chat, Tool Calculator +6
Email & Gmail

Google Trend Data Extract, Summarization with Bright Data & Google Gemini. Uses manualTrigger, stickyNote, chainLlm, httpRequest. Event-driven trigger; 16 nodes.

Chain Llm, HTTP Request, Google Gemini Chat +4
Data & Sheets

Splitout Limit. Uses manualTrigger, stickyNote, httpRequest, lmChatOpenAi. Event-driven trigger; 16 nodes.

HTTP Request, OpenAI Chat, Chain Summarization +2
AI & RAG

This workflow integrates both web scraping and NLP functionalities. It uses HTML parsing to extract links, HTTP requests to fetch essay content, and AI-based summarization using GPT-4o. It's an excell

HTTP Request, OpenAI Chat, Chain Summarization +2
AI & RAG

This workflow automates the handling of incoming emails by summarizing their content, generating appropriate responses, and validating the responses through a "Human-in-the-Loop" system. It integrates

Email Read Imap, Email Send, Chain Summarization +2
AI & RAG

This workflow is for everyone who wants to have easier access to their Odoo sales data without complex queries.

Memory Buffer Window, OpenAI Chat, Tool Calculator +6
AI & RAG

The Google Trend Data Extract & Summarization workflow is ideal for trend researchers, digital marketers, content strategists, and AI developers who want to automate the extraction, summarization, and

Chain Llm, HTTP Request, Google Gemini Chat +4
AI & RAG

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

OpenAI Chat, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +2
AI & RAG

How it works

Email Read Imap, Email Send, Chain Summarization +2
AI & RAG

This workflow streamlines bug tracking by using a webhook to collect issue reports, automatically classifying and summarizing them with Gemini AI, then sending critical issues to GitHub and real-time

Google Gemini Chat, GitHub, Gmail +3
Social Media

Are you looking for the next big startup idea? This powerful n8n workflow helps you mine Reddit posts for real-world pain points, AI-solvable problems, and high-potential business opportunities — with

Chain Summarization, OpenRouter Chat, Chain Llm +3
Content & Video

et. Uses httpRequest, chainSummarization, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 16 nodes.

HTTP Request, Chain Summarization, Document Default Data Loader +3
AI & RAG

scrape-and-summarize-webpages-with-ai. Uses httpRequest, lmChatOpenAi, chainSummarization, documentDefaultDataLoader. Event-driven trigger; 16 nodes.

HTTP Request, OpenAI Chat, Chain Summarization +2
AI & RAG

21-scrape-and-summarize-webpages-with-ai. Uses httpRequest, lmChatOpenAi, chainSummarization, documentDefaultDataLoader. Event-driven trigger; 16 nodes.

HTTP Request, OpenAI Chat, Chain Summarization +2
Slack & Telegram

Schedule Telegram. Uses lmChatOpenAi, scheduleTrigger, textSplitterRecursiveCharacterTextSplitter, chainSummarization. Scheduled trigger; 15 nodes.

OpenAI Chat, Text Splitter Recursive Character Text Splitter, Chain Summarization +2
Slack & Telegram

Schedule Telegram. Uses lmChatOpenAi, scheduleTrigger, textSplitterRecursiveCharacterTextSplitter, chainSummarization. Scheduled trigger; 15 nodes.

OpenAI Chat, Text Splitter Recursive Character Text Splitter, Chain Summarization +2
AI & RAG

Scrape And Summarize Webpages With Ai. Uses manualTrigger, httpRequest, html, stickyNote. Event-driven trigger; 15 nodes.

HTTP Request, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +2
AI & RAG

Extract & Summarize Indeed Company Info with Bright Data and Google Gemini. Uses manualTrigger, lmChatGoogleGemini, stickyNote, httpRequest. Event-driven trigger; 15 nodes.

Google Gemini Chat, HTTP Request, Agent +3
AI & RAG

My workflow 6. Uses httpRequest, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, lmChatOpenAi. Event-driven trigger; 15 nodes.

HTTP Request, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +2
AI & RAG

This template is designed for e-commerce owners, marketplace sellers, product teams, and CX/reputation managers who need an automated way to monitor product reviews. It’s ideal for anyone tracking Ama

@Decodo/N8N Nodes Decodo, Google Sheets, Google Gemini Chat +3
AI & RAG

This workflow automates the process of handling conversation transcriptions and distributing key information across your organization. Here's what it does:

Agent, Chain Summarization, OpenAI Chat +4
AI & RAG

The n8n template for creating kids' stories in Arabic offers a versatile platform for storytellers to captivate young audiences with educational and interactive tales. It allows for customization to s

OpenAI Chat, Text Splitter Recursive Character Text Splitter, Chain Summarization +2
AI & RAG

This workflow is ideal for sales managers, operations teams, and business owners who need daily automated sales summaries and team notifications. It eliminates the hassle of manually gathering, analyz

Google Sheets, Google Gemini Chat, Chain Summarization +6
AI & RAG

Automatically triage incoming chat messages into Incidents, Service Requests, or Other using an LLM-powered classifier; create Incidents in ServiceNow, submit Service Catalog requests (HTTP), and rout

Chat Trigger, OpenAI Chat, Text Classifier +6
AI & RAG

Extract & Summarize Indeed Company Info is an automated workflow that extracts the Indeed company profile information using Bright Data Web Unlocker, transform it using Google Gemini’s LLM, and forwar

Google Gemini Chat, HTTP Request, Agent +3
AI & RAG

This workflow summarizes the content of a webpage from a provided URL. It can optionally target a specific part of the page using a CSS selector, then uses an AI summarization chain to generate a conc

Execute Workflow Trigger, HTTP Request, OpenAI Chat +1
AI & RAG

Workflow 2234. Uses lmChatOpenAi, textSplitterRecursiveCharacterTextSplitter, chainSummarization, openAi. Scheduled trigger; 15 nodes.

OpenAI Chat, Text Splitter Recursive Character Text Splitter, Chain Summarization +2
AI & RAG

Form Stickynote. Uses hubspot, stickyNote, agent, chainSummarization. Event-driven trigger; 14 nodes.

HubSpot, Agent, Chain Summarization +4
Slack & Telegram

Schedule Telegram. Uses lmChatOpenAi, scheduleTrigger, stickyNote, chainSummarization. Scheduled trigger; 14 nodes.

OpenAI Chat, Chain Summarization, Text Splitter Recursive Character Text Splitter +2
Slack & Telegram

Schedule Telegram. Uses lmChatOpenAi, scheduleTrigger, stickyNote, chainSummarization. Scheduled trigger; 14 nodes.

OpenAI Chat, Chain Summarization, Text Splitter Recursive Character Text Splitter +2
General

Summarize Glassdoor Company Info with Google Gemini and Bright Data Web Scraper. Uses manualTrigger, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-dr

Google Gemini Chat, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +2
Email & Gmail

Telegram Code. Uses stickyNote, gmail, lmChatOpenAi, gmailTrigger. Event-driven trigger; 14 nodes.

Gmail, OpenAI Chat, Gmail Trigger +3
AI & RAG

Check this example: https://t.me/st0ries95

OpenAI Chat, Chain Summarization, Text Splitter Recursive Character Text Splitter +2
AI & RAG

Check out this channel for example.

Gmail, OpenAI Chat, Gmail Trigger +3
AI & RAG

This workflow is designed for HR professionals, employer branding teams, talent acquisition strategists, market researchers, and business intelligence analysts who want to monitor, understand, and act

Google Gemini Chat, Document Default Data Loader, Text Splitter Recursive Character Text Splitter +2
AI & RAG

This workflow is designed for Customer Satisfaction Managers (CSM), sales professionals, and operations managers who need to automate the analysis of client transcripts, save summarized notes to HubSp

HubSpot, Agent, Chain Summarization +4
AI & RAG

Automate Pinterest Analysis & AI-Powered Content Suggestions With Pinterest API. Uses lmChatOpenAi, airtableTool, scheduleTrigger, httpRequest. Scheduled trigger; 13 nodes.

OpenAI Chat, Airtable Tool, HTTP Request +4
AI & RAG

Automate Pinterest Analysis & AI-Powered Content Suggestions With Pinterest API. Uses lmChatOpenAi, airtableTool, scheduleTrigger, httpRequest. Scheduled trigger; 13 nodes.

OpenAI Chat, Airtable Tool, HTTP Request +4
General

This n8n template shows you how to automate document summarization while keeping full digital sovereignty. By combining Nextcloud for file storage and the IONOS AI Model Hub, your sensitive documents

Chain Summarization, Document Default Data Loader, Text Splitter Token Splitter +2
AI & RAG

This workflow automates the collection, analysis, and summarization of Pinterest Pin data to help marketers optimize content strategy. It gathers Pinterest Pin performance data, analyzes trends using

OpenAI Chat, Airtable Tool, HTTP Request +4
AI & RAG

This workflow is ideal for developers, SEO specialists, performance engineers, and digital agencies who want to continuously monitor website performance using Core Web Vitals. It’s also perfect for pr

Google Gemini Chat, Telegram, HTTP Request +2
AI & RAG

This workflow is perfect for IT departments, helpdesk teams, or internal service units that manage incoming support requests through Jotform. It automates ticket handling, classification, and response

Jot Form Trigger, Google Gemini Chat, Chain Summarization +4
AI & RAG

Google Search Engine Results Page Extraction with Bright Data. Uses manualTrigger, lmChatGoogleGemini, chainSummarization, toolHttpRequest. Event-driven trigger; 12 nodes.

Google Gemini Chat, Chain Summarization, Tool Http Request +3
General

Extract & Summarize Wikipedia Data with Bright Data and Gemini AI. Uses manualTrigger, lmChatGoogleGemini, httpRequest, stickyNote. Event-driven trigger; 12 nodes.

Google Gemini Chat, HTTP Request, Chain Llm +1
General

Extract & Summarize Yelp Business Review with Bright Data and Google Gemini. Uses manualTrigger, stickyNote, httpRequest, lmChatGoogleGemini. Event-driven trigger; 12 nodes.

HTTP Request, Google Gemini Chat, Output Parser Structured +2
AI & RAG

Extract & Summarize Wikipedia Data with Bright Data and Gemini AI. Uses lmChatGoogleGemini, httpRequest, chainLlm, chainSummarization. Event-driven trigger; 12 nodes.

Google Gemini Chat, HTTP Request, Chain Llm +1
AI & RAG

This workflow is designed for researchers, students, and professionals who frequently read academic papers and need concise summaries. It is useful for anyone who wants to quickly extract key informat

Chain Summarization, OpenAI Chat, HTTP Request +2
AI & RAG

This workflow is designed for professionals and teams who need real-time, structured insights from Google Search results without manual effort.

Google Gemini Chat, Chain Summarization, Tool Http Request +3
AI & RAG

This workflow automates the process of Wikipedia data extraction using the Bright Data Web Unlocker, parsing and cleaning the data, and then sending the results to a specified webhook URL for downstre

Google Gemini Chat, HTTP Request, Chain Llm +1
AI & RAG

Quickly transform any LinkedIn profile URL into a concise, AI‑generated professional summary — perfect for recruiters, sales teams, and hiring managers who need instant insights into prospects or cand

OpenAI Chat, Chain Summarization, Google Sheets Trigger +2
General

SearchApi Youtube Video Summary. Uses manualTrigger, chainSummarization, textSplitterRecursiveCharacterTextSplitter, splitOut. Event-driven trigger; 9 nodes.

Chain Summarization, Text Splitter Recursive Character Text Splitter, @Searchapi/N8N Nodes Searchapi +1
AI & RAG

Reduce human delays between malware detection and remediation in MSSP/SOC environments. This workflow automates full endpoint antivirus scanning immediately after high-severity endpoint infection wazu

OpenAI Chat, Chain Summarization, Agent +2
AI & RAG

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Form Trigger, @Apify/N8N Nodes Apify, Chain Summarization +1
AI & RAG

SummarizationChain:Simpe:Refine. Uses lmChatOpenAi, chainSummarization. Event-driven trigger; 7 nodes.

OpenAI Chat, Chain Summarization
AI & RAG

Summarize Youtube Videos From Transcript. Uses stickyNote, httpRequest, noOp, chainSummarization. Event-driven trigger; 10 nodes.

HTTP Request, Chain Summarization, Form Trigger +1
General

Http Form. Uses stickyNote, httpRequest, noOp, chainSummarization. Event-driven trigger; 10 nodes.

HTTP Request, Chain Summarization, Form Trigger +1
AI & RAG

Who is this template for? This workflow template is designed for content creators, researchers, educators, and professionals who need quick, accurate summaries of YouTube videos. It’s ideal for those

HTTP Request, Chain Summarization, Form Trigger +1
AI & RAG

2736. Uses httpRequest, chainSummarization, formTrigger, lmChatOpenAi. Event-driven trigger; 10 nodes.

HTTP Request, Chain Summarization, Form Trigger +1
AI & RAG

Youtube-ozetleyici. Uses httpRequest, chainSummarization, formTrigger, lmChatOpenAi. Event-driven trigger; 10 nodes.

HTTP Request, Chain Summarization, Form Trigger +1
AI & RAG

Summarize YouTube Videos from Transcript. Uses httpRequest, chainSummarization, formTrigger, lmChatOpenAi. Event-driven trigger; 10 nodes.

HTTP Request, Chain Summarization, Form Trigger +1
General

Summarize-Youtub-Videos-From-Transcript. Uses httpRequest, chainSummarization, formTrigger, lmChatOpenAi. Event-driven trigger; 9 nodes.

HTTP Request, Chain Summarization, Form Trigger +2
General

Manual Googledrive. Uses manualTrigger, lmChatOpenAi, documentDefaultDataLoader, textSplitterTokenSplitter. Event-driven trigger; 6 nodes.

OpenAI Chat, Document Default Data Loader, Text Splitter Token Splitter +2
AI & RAG

Multi-Agent Pipeline. Uses scheduleTrigger, agent, lmChatAnthropic, executeWorkflow. Scheduled trigger; 6 nodes.

Agent, Anthropic Chat, Chain Summarization +1
AI & RAG

This workflow includes advanced features like text summarization and tokenization, it's ideal for automating document processing tasks that require parsing and summarizing text data from Google Drive.

OpenAI Chat, Document Default Data Loader, Text Splitter Token Splitter +2
AI & RAG

This n8n workflow supercharges your SOC by fully automating triage, analysis, and notification for Wazuh alerts—blending event-driven automation, OpenAI-powered contextual analysis, and real-time coll

Chain Summarization, Telegram, OpenAI Chat
Email & Gmail

Summarize Google Drive Documents with Mistral AI and Send via Gmail. Uses manualTrigger, lmChatMistralCloud, googleDrive, chainSummarization. Event-driven trigger; 5 nodes.

Lm Chat Mistral Cloud, Google Drive, Chain Summarization +1
Email & Gmail

Save New Sales Opportunities. Uses gmailTrigger, odoo, lmOpenAi, stickyNote. Event-driven trigger; 5 nodes.

Gmail Trigger, Odoo, Lm Open Ai +1
AI & RAG

This n8n workflow automates the process of extracting information from emails. It uses OpenAI to summarize sales emails and adds this information in Odoo. When an email is received with a certain labe

Gmail Trigger, Odoo, Lm Open Ai +1

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FAQ

How many n8n Chainsummarization workflows are in the catalog?

155 n8n workflows in AutomationFlows currently use the Chainsummarization integration — triggers, actions, or both.

How do I connect Chainsummarization in n8n?

After importing the workflow JSON, n8n will prompt for Chainsummarization credentials on the relevant nodes. AutomationFlows strips credential IDs before publishing — you'll add your own.

Can I combine these with other integrations?

Yes — most Chainsummarization workflows pair with adjacent tools (Slack alerts, Google Sheets logging, OpenAI summarisation). Browse the integration tags on each workflow page to discover pairings.