Architecting Production Ready LLM Systems
Large Language Models (LLMs) have moved rapidly from experimentation to real business use. Many organizations now have working demos, internal tools, or early customer-facing features powered by LLMs. Yet very few of these systems are truly production-ready. The reason is rarely the model itself. The real challenge is architecture. LLMs place fundamentally different demands on […]
Retrieval-Augmented Generation (RAG)
As Large Language Models (LLMs) become more common in SaaS products and enterprise systems, one challenge keeps surfacing: accuracy.LLMs are powerful, but they do not inherently “know” your business data. Left on their own, they generate responses based on training data and probability – not on your internal knowledge, documents, or real-time information. This is […]