Getting an AI agent to run in production has always been harder than building it. The prototype works on your laptop, but then the questions start: where do I host…
If you have ever put a generative AI application into production, you know the feeling: the solution works beautifully in the POC, and when volume grows, the token bill becomes…
One of the biggest fears when adopting generative AI is hallucination: the model gives an answer that sounds convincing but is wrong. The good news is that you can drastically…
Language models know how to converse — but, on their own, they do not query your database, read the company document index, or trigger actions in the real world. That…
If you work with generative AI, you have already heard of RAG. But what is RAG in practice — and why has it become the standard for making language models…