LatestMachine LearningYoure Doing RAG Wrong: How to Fix Retrieval-Augmented Generation for Local LLMs 0 like March 8, 2025Share this postLast Updated on March 8, 2025 by Editorial TeamAuthor(s): DarkBones Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Want to skip straight to the setup? Jump to the tutorial. Need a RAG refresher? Check out my previous article.RAG Works Until It DoesntRAG sounds great, until you try implementing it. Then the cracks start to show.RAG pulls in irrelevant chunks, mashes together unrelated ideas, and confidently misattributes first-person writing, turning useful context into a confusing mess.I ran into two major issues when building my own RAG system: Context Blindness When retrieved chunks dont carry enough information to be useful. First-Person Confusion When the system doesnt know who I refers to.Ill show you exactly how I fixed these problems, so your RAG system actually understands what it retrieves.By the end, youll have a 100% local, 100% free, context-aware RAG pipeline running with your preferred local LLM and interface. Well also set up an automated knowledge base, so adding new information is frictionless.Enjoying this deep-dive? Heres how you can help: Clap for this article It helps more people find it. Follow me I write about AI, programming, data science, and other interesting tech. More posts like this are coming! Leave a comment Have you Read the full blog for free on Medium.Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming asponsor. Published via Towards AITowards AI - Medium Share this post