Posts in Category: LLMs

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

AI That Explains Code: Generating Tutorials from Any GitHub Repo

Drowning in a complex new codebase? Imagine having an AI tutor guide you through it, step-by-step. This article introduces an open-source tool created by Zachary Hong that does exactly that – transforming intimidating GitHub repositories into clear, structured tutorials. Whether you're a developer t...…
in AI, Development, Open Source, LLMs

Stop Guessing: Build Production-Ready AI Agents with Langfuse Observability

Tired of building AI agents based on guesswork? Too many developers are skipping a crucial step, leading to agents that fail unpredictably in the real world. If you're serious about creating robust, reliable AI agents, agent observability is non-negotiable, and Langfuse is the essential tool you n...…
in AI, LLMs, Observability, Development