n8n Blog29 jul 2026en
RAG vs. Agentic RAG: Architecture, Tradeoffs, and How to Choose
Classic RAG hits a wall on multi-hop and ambiguous queries. Learn how agentic RAG turns retrieval into a control loop, and when the tradeoffs are worth it.
Novedades
Últimas noticias del ecosistema n8n y de la automatización.
n8n Blog29 jul 2026en
AI Data Pipelines: Architecture, Stages, and Orchestration
Understand AI data pipeline architecture, from ingestion and feature engineering to model training and orchestration. See where n8n fits in the stack.
n8n Blog24 jul 2026en
AI Maturity - Bridging the Orchestration Chasm
The AI maturity framework in Section 2 may suggest a smooth, linear progression. The reality is different. Organizations do not advance evenly through these levels. There is a specific transition point where most enterprises stall, and understanding why is how anyone can reliably
n8n Blog24 jul 2026en
AI Agent Governance: Securing Autonomous Agents in Production
Discover enterprise AI agent governance. Inventory agents, enforce least-privilege access, and add runtime guardrails for security at the workflow level.
n8n Blog24 jul 2026en
AI Audit Trail: Tracing Data Usage in Production Workflows
Learn how to implement an AI audit trail for production workflows. Discover how execution records and data usage tracking ensures governance.
n8n Blog16 jul 2026en
Fine-Tuning vs. RAG: When To Use Each for Production LLMs
Explore fine-tuning versus RAG to understand how they differ, when each approach works best, and why many production LLM systems use both.
n8n Blog14 jul 2026en
Should I use Claude Code or n8n?
Should you build it with Claude Code or n8n? Five questions that let you answer for your own situation, from someone who uses both daily.
n8n Blog10 jul 2026en
Compliance Automation Software: What To Evaluate
Compare compliance automation software, including features, trade-offs, and how to build flexible workflows with n8n on infrastructure you control.
n8n Blog10 jul 2026en
Agent Identity, Reliable Execution, and Intent are only half-way solved
After spending the past couple of months looking at hundreds of tech docs from n8n, Google, Gumloop, and the rest, I tallied up 75 capabilities you’d expect an agent development tool to offer. But there are so many more things you can, need, or should do to agents
n8n Blog9 jul 2026en
Building an AI-powered incident response workflow in n8n
Build an AI-powered incident response workflow with n8n. Combine RAG, threat intelligence, and historical incidents to accelerate SOC investigations.
n8n Blog7 jul 2026en
AI Security Monitoring: Risks, Detection, and Automated Response
Learn how AI security monitoring works from both sides. Discover the unique AI risks and the strategies engineers use to automate detection and response.
n8n Blog7 jul 2026en
Fix Agent Failures With Context Engineering for LLMs
Context engineering for LLMs goes beyond prompt design. Learn how to manage context rot, budget tokens, and build reliable production AI agents with n8n.
n8n Blog7 jul 2026en
AI Agent Memory: Types, Storage, and How To Implement It
Learn how AI agent memory works, from in-context buffers to vector stores. Discover how to build persistent memory into real-world agent workflows at scale.
n8n Blog3 jul 2026en
Architectural Guide To Error Handling for LLM Tool Calling
This guide to LLM tool calling error handling covers how to classify failures, implement smart retries, design fallbacks, and wire circuit breakers.
n8n Blog1 jul 2026en
Agentic AI Design Patterns: From Architecture to Production
This practical guide to agentic AI design patterns covers validation, governance, context management, error recovery, and cost control in production.
n8n Blog1 jul 2026en
MCP Server Security: How To Identify and Mitigate Risks
Map MCP server security risks and apply the controls that matter: auth, tool-call scoping, observability, and mitigation strategies.
n8n Blog1 jul 2026en
Choose the Best Vector Databases for AI and RAG Pipelines
Compare the 10 best vector databases for RAG and AI pipelines. Evaluate your options on scale ceiling, metadata filtering, overhead, and architectural fit.
n8n Blog26 jun 2026en
Build Self-Improving Agent Skills with cognee and n8n
When a review run falls short, this workflow catches it and proposes a fix to the skill, then writes the improved instructions back once you approve the diff.
n8n Blog25 jun 2026en
AI Maturity - The 5-Level Framework
The following framework allows leadership to benchmark their organization across five distinct stages. Each level is assessed across four dimensions: Usage (who is using AI and how broadly), Sophistication (what types of tasks AI handles), Governance (what controls and policies a
n8n Blog25 jun 2026en
Let's talk about n8n community research
What you want from us, and how we want to support you.
n8n Blog17 jun 2026en
Agent-to-Agent (A2A) Protocol: How Cross-Agent Communication Works in Production
Deep dive into the A2A protocol: Explore specification-level components, failure modes, and how it enables enterprise-grade AI orchestration at scale.
n8n Blog10 jun 2026en
LLM Routing: From Strategy Selection to Production Architecture
Learn how LLM routing improves accuracy, latency, and cost with per request model selection. Optimize pipelines, and use the right tool every time.
n8n Blog10 jun 2026en
Best AI Governance Tools for Enterprise-Grade Compliance
Compare top AI governance tools for enterprise compliance. Review platform capabilities, different vendors, and key criteria to choose the right fit.
n8n Blog10 jun 2026en
Top Process Orchestration Tools and Their Key Benefits
Explore the top process orchestration tools, understand their key capabilities, tool reviews, and criteria to choose the right platform for your stack.
n8n Blog9 jun 2026en
Production AI Playbook: Complex Agent Patterns
Your first AI agent worked great. Then you added three more and the system became impossible to debug. This post covers multi-agent architectures, sub-workflow composition, memory management, and failure handling patterns that keep complex agent systems modular and production-rea
n8n Blog8 jun 2026en
Integration Patterns: How To Choose for Your Architecture
Explore the most common integration patterns for data and enterprise systems. Learn their uses, key tradeoffs, and ways to combine them in production.
n8n Blog8 jun 2026en
LLM Observability: What To Instrument and How To Act on It
Understand what LLM observability is and which metrics to track. Maintain a visible trail, iterate your process, and close a solid feedback loop.
n8n Blog8 jun 2026en
n8n targets a 200 person UK team by 2029 as it makes the UK an integral part of its international expansion
Germany's most valuable AI startup announces its commitment during London Tech Week, building on a year in which its UK team has already tripled in size LONDON and BERLIN, 9 June 2026 – n8n, the AI orchestration platform, today announced a target of 200 UK-based employees by
n8n Blog8 jun 2026en
Trace n8n workflow and node executions with OpenTelemetry
n8n now supports OpenTelemetry natively, allowing every workflow execution to be emitted as a trace, so n8n shows up inside the same observability stack your team already uses for the rest of production. There is no sidecar to run and no patching to maintain, and because everythi
n8n Blog8 jun 2026en
How to monitor usage and performance of AI steps
Knowing your agent is running is different from what it's doing. Learn how to monitor AI agents in production: structured outputs, memory state and early warning signals.
n8n Blog5 jun 2026en
What Are AI Hallucinations? And How To Improve Accuracy in Pipelines
Discover what AI hallucinations are, how LLMs generate them, and which types matter in production. Learn how to reduce them and create a reliable pipeline.
n8n Blog5 jun 2026en
Comparing 8 Cloud Integration Platforms for Enterprise IT
Compare the top cloud integration platforms for enterprise IT. Evaluate deployment models, connector depth, and governance, and see where n8n fits.
n8n Blog5 jun 2026en
Data Mapping Best Practices for Cross-System Integration
Discover data mapping best practices for cross-system integration at scale and learn how automating with n8n ensures reliable, production-grade data flows.
n8n Blog5 jun 2026en
AI agent performance metrics: what to track and why
Learn which AI agent metrics to track and how to match them to your deployment stage. Discover execution, quality, efficiency, and safety metrics with practical tracking guidance for n8n.
n8n Blog2 jun 2026en
How to debug failures or missteps in AI agent behavior?
AI agents often hallucinate without generating errors. Learn to debug agents by filtering execution logs, inspecting traces and tweaking LLM parameters.