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Articles tagged with #chaicohort
We know about the basic RAG structure - retrieve relevant documents, augment them with a query, and generate responses. But there are many flows in it that cause significant problems in real-world applications. Let's first understand what the problem...
Building a RAG (Retrieval Augmented Generation) system seems straightforward in theory: retrieve relevant documents, feed them to a language model, and get accurate responses. But anyone who's deployed RAG in production knows the reality is messier. ...
We’ve all used AI by now whether it’s ChatGPT answering questions or a recommendation engine suggesting what to watch next. At its core, most of this technology is powered by a transformer model that does one thing really well: predicting the next wo...
When humans read a sentence, we instantly understand the meaning, context, and relationships between words. Computers, however, don’t “understand” language in the same way. They work with numbers, not words. This is where vector embeddings come in a ...
