Posts with Tag: anthropic

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

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
Build Your Own MCP Server: Connect LLMs to Anything

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

Demystifying MCP: The Standard Set to Supercharge AI Assistants

Ever felt frustrated that AI assistants like [ChatGPT] can talk but struggle to do things in the real world? Connecting Large Language Models (LLMs) to external tools is often complex and brittle, like patching together different systems that don't naturally speak the same language. Enter MCP (Mod...…
in AI, LLMs, Standards, Development
Demystifying MCP: The Standard Set to Supercharge AI Assistants