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.
New feature coming to Solr v10.x: KNN search on nested vectors via Block Join. KNN Block Join query enables searching across specific child paragraphs and surfacing the most relevant parent documents in a single request.
In this blog post, we examine the ColBERT paper, which adapts deep learning models, in particular, BERT, for efficient retrieval.
Explore Semantic Highlighting feature in OpenSearch v3.0, how it works, and how it compares to the Sease Solr Neural Highlighting plugin.
This blog post focuses on limitations in OpenSearch v2.17 during the implementation of search features and proposes practical workarounds.
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.
