n8n workflows for In-Memory Vector Store.

Alfred (funcional). Uses gmailTool, googleCalendarTool, gmail, embeddingsOpenAi. Event-driven trigger; 83 nodes.

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

This template is a complete, hands-on tutorial for building a RAG (Retrieval-Augmented Generation) pipeline. In simple terms, you'll teach an AI to become an expert on a specific topic—in this case, t

This workflow transforms your Telegram bot into J.A.R.V.I.S., a powerful, multimodal AI assistant. It can understand and process text, voice messages, images, and documents. The assistant can search t

AI Multi-Document Analyzer with Smart Recommendations & Reporting

This n8n workflow enables an AI agent to interact with users through GoHighLevel SMS, leveraging a knowledgebase dynamically built by scraping the company's website.

This workflow automates intellectual property (IP) monitoring, conflict detection, and governance reporting for IP counsel, legal operations teams, and compliance officers. It eliminates the manual ef

This workflow implements a self-healing Retrieval-Augmented Generation (RAG) maintenance system that automatically updates document embeddings, evaluates retrieval quality, detects embedding drift, an

This workflow automates end-to-end e-commerce order processing from intake through fulfillment by orchestrating multiple AI-powered validation stages and external system integrations. Designed for e-c

This workflow automates academic research processing by routing queries through specialized AI models while maintaining contextual memory. Designed for researchers, faculty, and graduate students, it

Boost your productivity with this AI-powered email and calendar assistant:

Every day at 8 AM, the workflow automatically retrieves the latest F1 data—including driver standings, qualifying results, race schedules, and circuit information. All sources are merged into a unifie

This workflow is designed for Business Analysts, Project Managers, and Operations Teams who need to automate the creation, tracking, and delivery of Business Requirements Documents (BRDs) from submitt

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

Scheduled triggers initiate automated contract reviews. The system fetches documents from cloud storage and email, then uses AI to extract key terms, obligations, and compliance requirements. Multi-mo

Webhook Schedule. Uses manualTrigger, stickyNote, agent, lmChatOpenAi. Event-driven trigger; 34 nodes.

https://n8n-tools.streamlit.app/

My workflow 2. Uses googleGemini, formTrigger, httpRequest, googleDrive. Event-driven trigger; 33 nodes.

This workflow automates academic and professional plagiarism detection by processing multi-modal submissions — documents, audio recordings, and images,through specialized AI agents. It targets educato

Based on the workflow image, here is the complete n8n template submission:

This workflow automates player segmentation and game economy optimisation using a multi-agent AI architecture, targeting game designers, product managers, and data teams in mobile, PC, or online gamin

This workflow allows users to send any newspaper or article link to a Telegram bot. The workflow then: Validates the URL Scrapes the webpage (title, description, full text, images, OG metadata) Proces

Requirement-to-Task-V5. Uses lmChatOpenAi, memoryBufferWindow, textClassifier, agent. Event-driven trigger; 30 nodes.

<h2>📧 Analyze, classify, and summarize emails using RAG (automatic taxonomy learning)</h2>

Building Your First Whatsapp Chatbot. Uses whatsAppTrigger, lmChatOpenAi, memoryBufferWindow, toolVectorStore. Event-driven trigger; 28 nodes.

This n8n template builds a simple WhatsApp chabot acting as a Sales Agent. The Agent is backed by a product catalog vector store to better answer user's questions.

This workflow turns your WhatsApp number into an intelligent AI-powered Sales Agent that answers product queries using real data extracted from a PDF brochure. It loads a product brochure via HTTP Req

20-building-your-first-whatsapp-chatbot. Uses whatsAppTrigger, lmChatOpenAi, memoryBufferWindow, toolVectorStore. Event-driven trigger; 27 nodes.

Create Publish Instagram Carousel Posts With Gpt-4.1-Mini Imgur Graph Api. Uses agent, lmChatOpenAi, vectorStoreInMemory, embeddingsOpenAi. Scheduled trigger; 26 nodes.

This comprehensive n8n workflow template creates an intelligent AI chatbot that automatically transforms your Google Drive documents into a searchable knowledge base. The chatbot uses OpenAI's GPT mod

This workflow implements an AI-powered incident investigation and root cause analysis system that automatically analyzes operational signals when a system incident occurs.

This is a template for n8n's evaluation feature.

Version: 2.0.0 n8n Version: 1.88.0+ Author: Unknown License: MIT

The scoring approach is adapted from https://cloud.google.com/vertex-ai/generative-ai/docs/models/metrics-templates#pointwise_groundedness This evaluation works best for an agent that requires documen

Personalized AI Tech Newsletter Using RSS, OpenAI and Gmail. Uses splitOut, embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Scheduled trigger; 24 nodes.

This n8n template automates the collection, storage, and summarization of technology news from top sites, turning it into a concise, personalized weekly newsletter.

An upgraded Retrieval-Augmented Generation (RAG) chatbot built in n8n that lets users ask questions via Telegram and receive accurate answers from uploaded PDFs. It embeds documents using OpenAI and b

**Type of data is binary

[](https://www.youtube.com/watch?v=2EWgC5UKiBQ) &gt; Empower employees to instantly access and understand the company’s Code of Conduct via a Slack chatbot, powered by Retrieval-Augmented Generation (

Answer HR and company policy questions via Slack, powered by a Knowledge Base of internal documents stored in S3. The assistant uses vector search and an OpenAI Chat Model to retrieve accurate answers

personalized-ai-tech-newsletter-using-rss,-openai-and-gmail. Uses embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, lmChatOpenAi. Scheduled trigger; 24 nodes.

16-personalized-ai-tech-newsletter-using-rss,-openai-and-gmail. Uses embeddingsOpenAi, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, lmChatOpenAi. Scheduled trigger; 24 nodes.

Generating Image Embeddings Via Textual Summarisation. Uses manualTrigger, googleDrive, editImage, documentDefaultDataLoader. Event-driven trigger; 22 nodes.

Manual Stickynote. Uses manualTrigger, googleDrive, editImage, documentDefaultDataLoader. Event-driven trigger; 22 nodes.

This n8n template demonstrates an approach to image embeddings for purpose of building a quick image contextual search. Use-cases could for a personal photo library, product recommendations or searchi

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

Geminis. Uses toolSerpApi, googleGemini, chatTrigger, agent. Event-driven trigger; 22 nodes.

This workflow implements a two-stage news automation system designed for reusable and topic-driven email delivery. News articles are continuously collected from multiple platforms using RSS feeds and

RAG AI Agent. Uses lmChatOpenAi, memoryBufferWindow, googleDrive, documentDefaultDataLoader. Webhook trigger; 20 nodes.

The system, named LENOHA (Low Energy, No Hallucination, Leave No One Behind Architecture), uses a high-precision classifier to differentiate between high-stakes queries and casual conversation. Querie

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

AI Agent to learn directly from your GitHub repository. It automatically syncs source files, converts them into vectorized knowledge

This AI-powered workflow transforms n8n workflow JSON files into publication-ready, SEO-optimized markdown posts for the n8n community. Simply upload your workflow's JSON, and let Google Gemini 2.5 Pr

Advanced Gmail AI Auto-Responder with Context Intelligence The next-generation email automation that knows your communication style, remembers conversations, and responds with human-like intelligence.

Use Vectors in RAG. Uses googleDrive, documentDefaultDataLoader, textSplitterCharacterTextSplitter, embeddingsOpenAi. Event-driven trigger; 17 nodes.

Turn documents into an AI-powered knowledge base.

2Chat Chatbot. Uses agent, memoryBufferWindow, formTrigger, vectorStoreInMemory. Webhook trigger; 16 nodes.

AI powered triage agent. Uses mondayCom, googleDocs, slack, githubTrigger. Event-driven trigger; 16 nodes.

This workflow is designed for companies looking to onboard new employees and interns efficiently. It's perfect for HR teams, team leaders, and organizations that want to provide instant access to comp

This workflow demonstrates a simple Retrieval-Augmented Generation (RAG) pipeline in n8n, split into two main sections:

This Workflow auto-ingests Google Drive documents, parses them with LlamaIndex, and stores Azure OpenAI embeddings in an in-memory vector store—cutting manual update time from ~30 minutes to under 2 m

HelloAgent_n8nCase. Uses gmailTrigger, lmChatGoogleGemini, memoryBufferWindow, toolSerpApi. Event-driven trigger; 12 nodes.

dssat-rag. Uses chatTrigger, embeddingsOpenAi, agent, documentDefaultDataLoader. Chat trigger; 11 nodes.

This template shows how to use the Question and Answer tool to save costs in RAG use cases.

Description 📌 Overview

Demo: RAG in n8n. Uses formTrigger, documentDefaultDataLoader, vectorStoreInMemory, agent. Event-driven trigger; 13 nodes.

prototype. Uses vectorStoreInMemory, documentDefaultDataLoader, embeddingsHuggingFaceInference, readWriteFile. Event-driven trigger; 12 nodes.

Poc-Rag-Llm. Uses lmChatOllama, embeddingsOllama, chatTrigger, agent. Chat trigger; 12 nodes.

Rag Ejemplo. Uses formTrigger, embeddingsOpenAi, documentDefaultDataLoader, vectorStoreInMemory. Event-driven trigger; 12 nodes.

[Lab] n8n RAG in memory vector. Uses formTrigger, embeddingsOpenAi, documentDefaultDataLoader, vectorStoreInMemory. Event-driven trigger; 12 nodes.

Knowledge store agent (with Google Drive). Uses documentDefaultDataLoader, googleDrive, embeddingsOpenAi, agent. Chat trigger; 12 nodes.

This template quickly shows how to use RAG in n8n.

RAG Agent. Uses vectorStoreInMemory, documentDefaultDataLoader, agent, lmChatOllama. Webhook trigger; 11 nodes.

INM_clase_2_flujo_2_raiway. Uses agent, lmChatCohere, memoryBufferWindow, vectorStoreInMemory. Event-driven trigger; 8 nodes.