Mar 16 · 14 min read · Most LLM applications look great in a high-fidelity demo. Then they hit the hands of real users and start failing in very predictable yet damaging ways. They answer questions they should not, they bre
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Jan 29 · 26 min read · Written by Andriy Burkov, Ph.D. & Author, MindsDB Advisor What happens when a developer searches for "how to make async HTTP calls" but your documentation says "asynchronous network requests"? Traditional keyword search fails—even though the content ...
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Dec 29, 2025 · 12 min read · Published first in Medium 1. Introduction Why FAISS is great for experimentation but difficult in production If you are an ML engineer, you probably started your vector search journey with FAISS. It’s the standard for a reason: it’s blazing fast and ...
Join discussionNov 20, 2025 · 5 min read · Building a robust RAG (Retrieval-Augmented Generation) system isn’t only about retrieving information, it’s about creating conversations that feel contextual, continuous, and intelligent. One of the biggest challenges in achieving this is managing ch...
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Aug 28, 2025 · 4 min read · Vector DBs are everywhere these days: Pinecone, Weaviate, Qdrant, Chroma, FAISS … you name it! Most of them are full-featured systems with servers, APIs, dashboards, the works. Sometimes the best way to demystify hype is to build it yourself. Here’s ...
Join discussionAug 26, 2025 · 28 min read · In the rapidly evolving landscape of generative AI, Retrieval-Augmented Geeration (RAG) has emerged as a cornerstone for building context-aware and factually grounded applications. As organizations move from single-purpose RAG systems to sophisticate...
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Jul 27, 2025 · 6 min read · A few days back, I was looking for my AWS certification score report. I knew it was on my laptop somewhere - I just didn’t remember where I saved it. I vaguely remembered sending it to someone on WhatsApp, so I opened the chat and started scrolling. ...
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Jul 22, 2025 · 8 min read · Here is a blog stating 8 key engineering & design principles while working with LLM applications & agentic systems. This might be helpful for AI engineers working in LLM-based systems. If you don't know about AI agents then you can refer to this blog...
TTobechi commentedJul 22, 2025 · 11 min read · "The real magic of AI lies not just in understanding language, but in remembering it wisely." 🚀 Continuing the Journey: Blog #2 of My AI Engineering Path In my first blog, I explored how fine-tuning large models can sometimes do more harm than good...
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