Posts with Tag: rag

N8N vs. Make.com AI Agents: A Deep Dive Comparison

The buzz around AI agents is undeniable, but choosing the right platform to build them can feel overwhelming. Are you weighing Make.com's extensive integrations against N8N's flexible architecture? This article cuts through the noise, providing a detailed head-to-head comparison of their AI Agent ca...…
in AI, Automation, N8N, Make.com
N8N vs. Make.com AI Agents: A Deep Dive Comparison

Beyond Standard RAG: Fixing the 'Lost Context' Problem with Advanced Retrieval Techniques

Is your RAG agent struggling with accuracy or making things up? The culprit might be the 'lost context problem,' where chunking separates vital information from its original meaning. This article dives into why standard RAG falls short and introduces two powerful techniques—Late Chunking and Context...…
in AI, LLMs, N8N, RAG
Beyond Standard RAG: Fixing the 'Lost Context' Problem with Advanced Retrieval Techniques

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

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