Dense Retrieval for Allegro Search Engine
Modern system designs for e-commerce search are complex, multi-layered systems that must adhere to various online and offline performance requirements. Retrieval is a key component of search engines. In the face of today’s dominance by neural networks and large language models (LLMs), it may be surprising to discover that old-school lexical retrieval remains a tough opponent for dense retrieval, which leverages neural networks. During this talk, you will learn what dense retrieval is and delve into the dense retrieval training processes employed at Allegro.
Bio
Ola Chrabrowa is a Research Engineer at Machine Learning Research at Allegro. She works with NLP. She has a couple of years of industry experience in ML/NLP and a background in quantum physics.