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For the past two years, building a production-grade Retrieval-Augmented Generation (RAG) system has been a rite of passage for AI engineers. It was a badge of honor, but also a massive headache. To build a system that allowed an AI to “talk to your data,” you had to architect a complex, multi-stage pipeline. You had […]

In the rapidly evolving world of Generative AI, business leaders and developers often face a critical decision when trying to customize an AI model for their specific needs: “Should we fine-tune a model on our data, or should we use RAG?” There is a widespread misconception that to teach an AI about your business—your products, […]