This guide walks you through the 15 best n8n practices for deploying production-ready AI Agents. Choose the best infrastructure, scale queue mode, handle errors, monitor, and deploy AI Agents reliably in n8n.
Explore how to build a full RAG pipeline in n8n without heavy frameworks. Compare code-first approaches to visual workflows for faster iteration and easier maintenance.
Discover multi-agent AI patterns, communication, costs, risks, and real-world use cases. Compare visual builders like n8n with code-first SDKs.
In this hands-on tutorial, we'll guide you through creating a low-code LLM evaluation framework using n8n. Learn key concepts like “LLM-as-a-Judge” and build a custom evaluation path that ensures you can deploy updates, test new models, and maintain quality with total confidence.
Looking for AI workflow automation tools? Compare n8n, Zapier, Make, and 6 other top platforms. Find the best fit for beginners, developers, and enterprise teams.
Boost your RAG pipeline’s accuracy with rerankers that reorder results by true semantic relevance—deliver smarter, faster, and more precise AI search!
Discover AI agent orchestration frameworks like n8n, LangGraph, CrewAI that power scalable, multi-agent AI orchestration in 2025.
We just raised $180 million in Series C funding, bringing our total funding to $240 million and our valuation to $2.5 billion. The round is led by Accel, with support from Meritech, Redpoint, Evantic and Visionaries Club. Corporate investors NVentures (NVIDIA’s venture capital arm) and T.Capital also
Discover practical evaluation methods for enterprise-ready LLMs. Learn how to measure accuracy, safety, and reliability—and see how n8n’s built-in evaluation tools make it easy to test and improve AI workflows.
Standard RAG is accurate but inflexible. Agentic RAG is the upgrade, using smart AI agents in dynamic workflows. These agents choose the right tool for any query, like a database or web search, and verify their own answers. This guide explains what Agentic RAG is and shows you practical examples.
RAG isn’t foolproof. Explore common hallucinations, evaluation metrics, and how to improve RAG accuracy in n8n.
Tired of doing repetitive tasks? These 12 AI agents handle complex workflows independently while you focus on the fun stuff. Plus n8n tutorials for ultimate customization!
This guide explores five powerful types of AI agents gaining traction in 2025—and how platforms like n8n make it easier than ever to build or integrate them. Ready to find out which AI agents are worth your attention? Let’s dive in.
Learn how to use AI sentiment analysis in n8n to intelligently automate workflows. Explore sentiment types, real-world use cases, and step-by-step guidance to build an agent-based system that classifies and explains email intent.
Explore 7 top AI agent builders: workflow-native, AI-native & hybrid. Compare AI agent builder platforms by use case, integration & flexibility!
Explore the state and future of MCP in AI agents—from vendor security and model risks to cost and orchestration. MCP shows promise but faces adoption hurdles due to immaturity, security flaws, and backward compatibility challenges.
Distilling the complexity of AI Evaluations frameworks into a practical paradigm
Starting with a select group of verified nodes, users can install community and partner-built integrations directly from the canvas. This launch marks the next step in expanding our trusted ecosystem, powered by community contributions and vendor collaborations.
Build context-aware AI agents in n8n using MongoDB Vector Store & Chat Memory—no code needed. Power assistants with search + memory in one flow.
11 must-try AI open-source tools that redefined how we build and think about code—prepare to be inspired!
Learn how to run LLMs locally, explore top tools like Ollama & GPT4All, and integrate them with n8n for private, cost-effective AI workflows.
Step-by-step guide to building AI agents with three practical approaches—coding from scratch for full control, leveraging powerful frameworks like LangChain or LlamaIndex for faster development, or using no-code tools like n8n for rapid prototyping and automation.
From no-code builders to programming-first solutions, find your ideal AI agent framework. See why n8n's hybrid approach offers the perfect balance for real-world applications!
When I started building n8n six years ago, I never imagined we'd be where we are today. What began as a solution to my own frustration has grown into something used by over 200,000 people worldwide! Today, I'm incredibly excited to announce that we've secured €55 million in Series
Discover what AI agents are, explore 5 key types, and see 15 real-world examples of AI agents automating tasks like data analysis and customer support.
Struggling to choose the best AI tool for coding? We tested 8 leading platforms to help you decide. Discover our top picks—and see how n8n stands out by combining AI with powerful automation to streamline your development workflows!