Alessandro Benedetti
Alessandro Benedetti is an Apache Lucene/Solr committer and Solr PMC member, 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.
Sease
LinkedIn –Session
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).
This talk explores the open source contribution from both the indexing and query angles and what’s coming next for Solr in terms of integrations with Large Language Models.