Data Conference Databasea Query.Farm index
Speakers

Alessandro Benedetti

Employers on the program

  1. 2019–2026Sease6 talks
Events6
Conferences2
Talks6
Years active2019–2026
Miles between events4,2676 in-person events · 2 countries

The year around now

Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.

JanFebMarAprMayJunJulAugSepOctNovDecBerlin BuzzwordsBerlin Buzzwords
Held in the past 12 months Next 12 months Today, Nov 9, 2026

Appearances by year

201920202021202220232024202520262027
  • Berlin Buzzwords
  • Haystack

Talks

DateEventConferenceRoleTitleLinks
Jun 7, 2026Berlin Buzzwords 2026Berlin BuzzwordstalkApache Solr 10: What's Coming up for Vector Search
as Sease

With Apache Solr 10 out, there are plenty of goodies coming up for vector-search aficionados.

SlidesVideo
Jun 15, 2025Berlin Buzzwords 2025Berlin BuzzwordstalkEnd-to-End Semantic Search with Apache Solr 9.8 LLM Module
as Sease
Apache Solr 9.8 introduces the LLM module opening the doors of end-to-end natural language query support through vector-backed semantic search (K Nearest…Show less

Apache Solr 9.8 introduces the LLM module opening the doors of end-to-end natural language query support through vector-backed semantic search (K Nearest Neighbors).

SlidesVideo
Jun 9, 2024Berlin Buzzwords 2024Berlin BuzzwordstalkHybrid Search with Apache Solr Reciprocal Rank Fusion
as Sease

Hybrid search combines traditional keyword-based search with vector-based search.

Video
Jun 18, 2023Berlin Buzzwords 2023Berlin BuzzwordstalkIntroducing Multi-valued Vector Fields in Apache Lucene
as Sease

Multiple vectors in a field dedicated to K-nearest-neighbors search has been a fundamental problem for Apache Lucene for long.

SlidesVideo
Jun 12, 2022Berlin Buzzwords 2022Berlin BuzzwordstalkNeural Search Comes to Apache Solr: Approximate Nearest Neighbor, BERT and More (Buzzwords)!
as Sease
The first integrations of machine learning techniques with search allowed to improve the ranking of your search results (Learning To Rank) - but one limitation…Show less

The first integrations of machine learning techniques with search allowed to improve the ranking of your search results (Learning To Rank) - but one limitation has always been that documents had to contain the keywords that the user typed in the search box in order to be retrieved.

Video
Apr 24, 2019Haystack 2019HaystackspeakerRated Ranking Evaluator: an Open Source Approach for Search Quality Evaluation
as Sease
SlidesVideo

Frequent co-speakers

SpeakerShared eventsShared talksLast together
Ilaria Petreti512026
Nick Burch5—2026
Radu Gheorghe5—2026
William Benton5—2026
Anna Ruggero412026
Atita Arora4—2026
Charlie Hull4—2026
Danica Fine4—2026
Olena Kutsenko4—2026
Radu Pop4—2026
Rafał Kuć4—2026
Uwe Schindler4—2026
Lucian Precup4—2025
Celeste Horgan3—2026
Jarek Potiuk3—2026

Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.