We are so happy to announce the thirteenth London Information Retrieval Meetup, a free evening meetup aimed to Information Retrieval passionates and professionals who are curious to explore and discuss the latest trends in the field.
This time the meetup will be fully remote!
The meeting will be structured with 1 technical talk, with Q&A session after the talk.
ONLINE MEETUP
Registration required
Date: 26th July 2022 | 6.00 PM (GMT +1)
Location: Zoom
PROGRAM
[starting at 6:15]
After a short welcome & latest news speech from our Founder Alessandro Benedetti, we will proceed to the talk.
Players in Vector Search:
algorithms, software and use cases
In this talk we will dive into the de facto emerged field of Vector Search that you cannot ignore. We will look at how it all started, examine its algorithmic principles, explore software in the form of databases, frameworks and embedding servers, and go through use cases. The discussion is based on the author’s own experience in researching vector search algorithms, implementing search engines for clients and for Medium blog, as well as interviewing the makers for his Vector Podcast. We will also take a look at vector search in action, tackling some tough search problems, like multilinguality and multimodality.
Dmitry Kan
Founder of Vector Podcastco-founding Muves
Dmitry has been focusing on search engines since 2010 with Apache Lucene and Solr and since 2020 with Elasticsearch. He was responsible for building a search team and search technology powering AlphaSense product which today is used by thousands of reputed banks, hedge funds and companies in almost any industry vertical around the world. At Silo.AI Dmitry led a team of NLP researchers, search, frontend and QA engineers working on search at web scale, interacting with Product Management, Engineers and Data teams on a daily basis.
Dmitry has worked on open source projects Luke and Quepid and co-founded a few startups: in text analytics, edtech and team engagement space. He is the founder and host of the Vector Podcast . Having established himself as an independent researcher in vector search, Dmitry began working on Muves — multilingual and multimodal search engine, together with his co-founders. In free time he enjoys reading, cycling and blogging about AI and Search. Dmitry holds a PhD in Applied Mathematics and a Master’s in Computer Science.
