You've probably heard of RAG (Retrieval-Augmented Generation), the technique that lets AI systems look things up before answering, rather than relying purely on memory. But here's something most people don't know: the way AI searches for information matters enormously. There isn't just one way to retrieve knowledge. In fact, there are several query modes, each with its own strengths: Dense, Sparse, Hybrid, and Graph RAG. Our product supports all of these, so let's break down

Synthetic Data Generation (SDG) is overturning the oldest assumption in AI training: that real-world data is always more credible. Field results say otherwise — better generalization, at half the cost.