Everyone’s talking about large language models but the real intelligence doesn’t just come from the model (love the way OpenAI engineering is handling).
It comes from how it retrieves and reasons with information.
Think of it like this:
- •Keyword search found what you typed.
- •Vector search finds what you meant.
- •Agentic retrieval finds what you actually need next.
That last step is where the real magic happens. Because AI systems are no longer just responding, they’re deciding, prioritizing, and connecting context across sources.
In the next wave of AI, retrieval won’t just be a backend process, it’ll be the brain coordinating everything models do.
Enter the era of VectorQueryLanguage (VQL) — a seamless evolution from SQL, freeing you from the complexity and imprecision of current retrieval systems.
After all, the intelligence of your AI is only as strong as the quality of its retrieval.
At Agent Analytics, we’re shaping that next generation with WaveflowDB, engineered for deep, contextual, and agentic search powered by VQL.
Retrieval is no longer about access. It’s about understanding and control.