Posts in Category: AI

10 Lessons for Deploying RAG Agents in Production: Insights from Contextual AI's CEO

While AI agents show incredible promise, enterprises often struggle to get real value beyond the pilot phase. The 'context paradox'—where AI excels at complex tasks but fails at understanding enterprise-specific context—is a major hurdle. This article, based on insights from [Contextual AI]'s CEO Do...…
in AI, Enterprise AI, RAG

Build Your Own MCP Server: Connect LLMs to Anything

Anthropic's Model Context Protocol (MCP) is revolutionizing how we connect Large Language Models (LLMs) to external services. While existing MCP servers offer easy integrations, what happens when you need custom interactions or a service isn't supported? The answer is building your own MCP server. T...…
in AI, LLMs, Development, Integration

CAG vs. RAG in N8N: Choosing the Right Retrieval Technique for Your AI Workflows

Large Language Model (LLM) context windows have exploded recently, paving the way for techniques like Cache-Augmented Generation (CAG). But does this newcomer replace the established Retrieval-Augmented Generation (RAG)? This article dives deep into both methods, exploring their mechanics, pros, con...…
in AI, LLMs, N8N, Automation

Build a ChatGPT-Like Interface for Your n8n AI Agents with Open WebUI

Tired of the limited, basic chat interface for your powerful n8n AI agents? Imagine giving your users (or yourself!) a sleek, feature-rich experience akin to ChatGPT, complete with conversation history and customization. This guide is for n8n users looking to elevate their AI agent interactions. You...…
in AI, Automation, Open Source, Tutorial