Feb. 28, 2024, 5:51 a.m. | Vyacheslav Efimov

Towards Data Science - Medium towardsdatascience.com

Discover design approaches for building a scalable information retrieval system

Introduction

Question-answering applications have intensely emerged in recent years. They can be found everywhere: in modern search engines, chatbots or applications that simply retrieve relevant information from large volumes of thematic data.

As the name indicates, the objective of QA applications is to retrieve the most suitable answer to a given question in a text passage. Some of the first methods consisted of naive search by keywords or regular expressions. …

applications architectures building chatbots data design found information large language models modern nlp overview question question answering retrieval retrieval-augmented scalable search systems vector database

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Lead Data Scientist, Commercial Analytics

@ Checkout.com | London, United Kingdom

Data Engineer I

@ Love's Travel Stops | Oklahoma City, OK, US, 73120