Posts with Tag: retrieval_augmented_generation

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

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

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