16h ago · 12 min read · Your agent just produced a confident answer. It sounds plausible. It cites the right kind of context. It may even have called the right tool. But something feels off. The answer is shaped by a viewpoi
Join discussion2d ago · 17 min read · Most AI support agent tutorials show you how to wire up Retrieval Augmented Generation (RAG) and call it a day. Convert the docs into numeric vectors, pull the closest few passages to the user's quest
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2d ago · 8 min read · Disclaimer: The content presented here represents my own personal views and opinions. I built a RAG pipeline that retrieves the right answer from my personal knowledge base on the first try — with sou
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2d ago · 14 min read · System design has always been a critical skill for developers. When we talk about traditional system design, we usually discuss how to design scalable applications such as food delivery apps, payment
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2d ago · 10 min read · Most RAG tutorials stop at "embed your documents, stick them in a vector store, retrieve the top-k chunks, and let the LLM answer." That gets you a demo. It does not get you something people will trus
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