Documentdefaultdataloader → In-Memory Vector Store

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 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

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

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 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

<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

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.

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.