David Sertic
About David Sertic
David Sertic is an author known for his detailed article 'Neural Search Tutorial', where he explores the intricacies of neural search technologies and their applications.
David Sertic Author Profile
David Sertic is a recognized author known for his contribution to the field of neural search. With his expertise in the subject, he has written insightful content that elaborates on the core concepts and practical applications of neural search technology. His articles are well-researched, providing valuable insights into the emerging trends in neural search and its real-world implementations.
Neural Search Tutorial by David Sertic
On June 10, 2021, David Sertic authored 'Neural Search Tutorial', an article that delves into the essentials of neural search. The tutorial offers a comprehensive look at the differences between regular and neural search, exploring which neural networks are best suited for such tasks. Sertic includes practical applications, demonstrating the advantages and functionality of neural search with specific examples.
Building a Neural Search Service Step-by-Step
David Sertic's tutorial provides a step-by-step guide on constructing a neural search service, utilizing tools like BERT, Qdrant, and FastAPI. It incorporates detailed instructions on preparing data for neural search, such as encoding descriptions into vector representations using pre-trained language models. Sertic specifically recommends the 'all-MiniLM-L6-v2' model, highlighting its efficiency in terms of low memory consumption and fast inference.
Utilizing Qdrant for Neural Search
In his article, David Sertic demonstrates the use of Qdrant as a vector search engine. He explains how Qdrant can store and manage vector representations effectively, and perform nearest vector searches with ease. This section of the tutorial is essential for understanding how to implement and optimize vector search in practical applications.
Online Demo of Neural Search Service by David Sertic
To illustrate the effectiveness of neural search, David Sertic showcased an online demo. This demo was designed to help readers see the practical use of neural search in identifying semantically similar startups based on their descriptions. The demo serves as an interactive example, aiding understanding through real-time application of the concepts discussed.