At ZeroEntropy, we go beyond traditional semantic search by identifying the intent behind each query and dynamically mapping it to the most suitable retrieval system.
Our approach centers on building a context-aware, self-improving agent that learns from past queries, tailors results to the user, and seamlessly integrates different retrieval techniques.
By remembering user interactions and adapting over time, our system delivers a personalized and efficient search experience, setting the foundation for AI that truly feels like AGI.