Posts in Category: LLMs

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

Beyond Basic RAG: Supercharge Your AI Agent's Accuracy with LightRAG

Struggling to push your Retrieval-Augmented Generation (RAG) accuracy past the frustrating 50-75% mark? Basic implementations often fall short for real-world AI solutions. This article introduces LightRAG, a powerful open-source framework designed to elevate your RAG performance by integrating knowl...…
in AI, RAG, LLMs
Beyond Basic RAG: Supercharge Your AI Agent's Accuracy with LightRAG