Vector databases: where meaning-search gets fast (and when you don't need one)
Nearest-point search is exactly right; it just stops being fast at four million chunks. What a vector database actually buys you, and when a plain array or pgvector wins.

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Nearest-point search is exactly right; it just stops being fast at four million chunks. What a vector database actually buys you, and when a plain array or pgvector wins.


"Money back" and "refund" share no words, yet you match them instantly. An embedding puts meaning on a map so search can too. What a vector is, and where the map distorts.

Your RAG finds the right page and still misses the answer? The cut is usually why. A plain guide to chunk size, overlap, and where to put the scissors.

It aced every demo question. Then real users arrived, and it started confidently making things up. Here's everything that broke in production, and how we actually fixed it.

What retrieval-augmented generation actually is, why it exists, how it works, when to reach for it, and where it breaks. The plain, complete version.

Artificial Intelligence (AI) is one of the important transformative technologies of our time, revolutionizing industries associated with our daily lives i.e., voice assistants like Siri and Alexa to self-driving cars.

What if the next breakthrough in medical imaging could save millions of lives? How is AI revolutionizing the way we diagnose and treat diseases through advanced...