Posts in Category: RAG

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 Text: Building Multimodal RAG Systems for Images and Tables

Is your RAG system struggling with the rich visual information locked in images and tables within your documents? Traditional text-only approaches often lose crucial context. This article dives into the world of multimodal RAG, showing you how to build systems that can directly understand and retrie...…
in AI, LLMs, RAG, Multimodal

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

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