Alessandro Benedetti

Alessandro Benedetti

Sease

Alessandro Benedetti is an Apache Lucene/Solr committer and Solr chair of the PMC, Director at Sease Ltd.
He believes in Open Source as a way to build a bridge between Academia and Industry and facilitate the progress of applied research.
Alessandro is a passionate R&D software engineer, continuously applying the latest trends in Information Retrieval and AI to solve search problems.

He’s been working on Learning To Rank for years and more recently he’s been exploring Generative AI techs like Large Language Models and Retrieval Augmented Generation.
When he isn’t on clients’ projects, he contributes to the open-source community and presents at meet-ups and conferences such as ECIR, Search Solutions, Community Over Code, Haystack and Berlin Buzzwords.

Sessions

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Apache Solr 10: What’s Coming up for Vector Search

Talk
With Apache Solr 10 out, there are plenty of goodies coming up for vector-search aficionados. From scalar and binary quantization to speed up your search and reduce the memory footprint, to early termination and hybrid approaches to navigate the HNSW graph. Join us if you want to learn about the big steps forward of Apache Solr vector search!