Community over code 2026 The Apache Software Foundation’s Open Source Conference.Annual conference series for developers, users, contributors, and committers working on ASF open source projects.
Sease Ltd. explores whether modern databases like PostgreSQL and MongoDB can replace dedicated search engines such as Apache Solr and OpenSearch. While databases have improved their search capabilities, they still lack the advanced features, scalability, and performance of search engines for complex applications. The choice depends on the scale and architecture of the project.
Let’s announce the twenty-seventh edition of the London Information Retrieval & AI Meetup, a hybrid event about Information Retrieval.
Vespa.ai Live 2026 An in-person event for the practitioners shaping the next generation of AI-powered search and retrieval systems.This year’s agenda includes speakers from Etsy, Walmart,
This blog post explores the possible unexpected behaviors that can be encountered with Apache Solr’s lexicographical ordering.
Is it possible to integrate eDisMax-like boosting in Approximate Nearest Neighbor search for Solr and Lucene?
This blogpost introduces Approximate Search Evaluator: a tool to measure vector search performance, addressing the accuracy/speed trade-off.
Embedding Model Evaluator is an MTEB benchmark designed to evaluate embedding models on user-provided datasets on retrieval and reranking tasks.
Dataset Generator automates the creation of relevance datasets for search evaluation, generating queries and relevance ratings with LLMs.
Another Berlin Buzzwords is in the books, and we’re back with plenty of fresh ideas, inspiring conversations, and great memories. If you couldn’t make it
We are Sease, an Information Retrieval Company based in London, focused on providing R&D project guidance and implementation, Search consulting services, Training, and Search solutions using open source software like Apache Lucene/Solr, Elasticsearch, OpenSearch and Vespa.
