After a Year with LangChain in Production, I Replaced It with 200 Lines of Python
Receipts over opinions — what broke, what improved, and where the framework still wins.Continue reading on Medium »
Receipts over opinions — what broke, what improved, and where the framework still wins.Continue reading on Medium »
Yapay zekâ dünyasında artık sadece modele soru sormak yetmiyor.
Asıl mesele:Continue reading on Medium »
Turn any PDF into an intelligent exam preparation assistant using Retrieval-Augmented Generation (RAG)IntroductionWhat if you could upload a textbook, research paper, or lecture note and instantly generate high-quality exam questions along with accurat…
Hands-on: GPU-accelerated LLM serving on EKS Karpenter NodePool— NIM Operator, OpenSearch vector search, and EFS model weight caching.Continue reading on AI & ML Human Training/Coaching »
“Retrieval-Augmented Generation is mostly a solved problem.” I heard this at a team review in late 2024. My reaction was: that depends entirely on what you mean by retrieval.img 1I have spent the better part of two years building RAG pipelines in produ…
Five things that break the moment real users show up. None of them are in your demo.Continue reading on The Pragmatic Engineer »
For decades, JSON has been the universal language of APIs.Continue reading on Medium »
Every multi-agent system ever built is a combination of four patterns. Most developers discover them by accident. This article makes them…Continue reading on Think in AI Agents »
Why Your AI Needs a Memory and a Time MachineContinue reading on Towards AI »
How I built a production-grade pipeline using LangGraph, faster-whisper, and multi-agent AI to automatically analyze customer service callsContinue reading on Medium »