Luis Cossío

Author @ Qdrant arrow icon

About Luis Cossío

Luis Cossío is an author known for his articles on technology and data science, including 'Discovery needs context' and 'Vector Similarity beyond Search'.

Known information

Luis Cossío is an author who has contributed significantly to discussions on technology and data science. His notable works include the article ‘Discovery needs context,’ published on January 31, 2024, which explores the importance of contextual understanding in the discovery of new information. Another significant article by Cossío, ‘Vector Similarity beyond Search,’ was published on August 8, 2023, and delves into advanced methods of measuring vector similarity in data beyond traditional search mechanisms. His writings help elucidate complex topics in a way that is accessible to a broad audience.

About Qdrant

Qdrant is a company that provides a vector database and similarity search engine, supporting AI applications with advanced search technologies and a variety of data types.

report flag Report inaccurate information

People similar to Luis Cossío

Sabrina Aquino is an author known for her contributions to the understanding of AI and data science, particularly through her articles on topics like Retrieval-Augmented Generation and Vector Embeddings.

Mike Jang is an author known for his contributions to discussions on vector databases and machine learning technologies through his co-authored articles.

Nirant Kasliwal is an author known for his contributions to Qdrant's blog, focusing on topics related to vector search and text embedding technologies.

Unlock exclusive insights

Sign up to reveal more information.

loader Sign up for free