@pro.glitch: If you built a RAG and just uploaded a document and left it like that - it's not working as well as it could. Most people miss three things that completely change how accurate your AI answers are. First - metadata. You need to tag your documents. What type is it? What topic? When was it created? Then when someone asks a question your system extracts what they're looking for and matches it to the right tags. No more searching blindly through everything. Second - rephrase the question. Don't just send the exact question to your knowledge base. Build a system that takes that question and rephrases it three different ways. Now you're searching from multiple angles. You pull back more context. Rank the results. Pick the best ones. Way more accurate. Third - chunking. How you split your documents matters. Too big and you feed the AI noise. Too small and you lose context. Break your data with intention. Keep related information together. Metadata. Rephrasing. Chunking. That's the difference between a RAG that kinda works and one that actually performs. #Rag #vectordatabase #aiagent #n8n

Professor Glitch

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Saturday 03 January 2026 21:58:43 GMT