Search systems are rapidly evolving with deep learning, embeddings, and large language models. This talk gives a 360° view of modern architectures: from query understanding and retrieval to ranking and re-ranking. We’ll explore how hybrid retrieval, multi-task learning, and LLM-assisted query understanding improve relevance, personalization, and diversity, and highlight where to focus next for scalable innovation.