Lucian Precup

Misinformation travels faster than ever, but AI can help us fight back. In this session, we share how we built a platform combining search, an intelligent assistant, and a Retrieval-Augmented Generation (RAG) system to support fact-checking and news classification.

Celebrating Apache Lucene's 22nd anniversary, this conference explores its pivotal role in search and data technologies, from powering platforms like Solr, Elasticsearch and OpenSearch to recent AI synergies with vector indexing/search.

Apache Lucene celebrated its twenty-second anniversary last September, a journey that continues to profoundly impact the world of Search and Data technologies. Lucene is the engine behind giants such as Elasticsearch, OpenSearch, Apache Solr, and the recent Atlas Search from MongoDB.

This presentation delves into the intricacies of implementing a multilingual search engine that efficiently supports over twenty European languages using platforms like Elasticsearch, OpenSearch, and Solr. We share the unique challenges posed by each language, and the strategic decisions made to ensure optimal functionality.

In this session we will share our vision towards an alternative, decentralized and collaborative search engine, from social considerations to technical implementation.

Natural language processing has been changing radically since the advent of deep learning and new language models. How can we practically use these tools in our products, especially when we are more of a developer than a Data Scientist?

Defining the KPIs, keeping an eye on the customer satisfaction and sales, defining the backlog, configuring the search engine, debugging relevance issues, preventing regressions … These are a few tasks on the list of a search engine administrator.

In many contexts, facets are as important as the results themselves. While they are easy to handle when the data is structured and clean, they can be quite difficult to put in place on unstructured or low-quality data.