
Hybrid Search with Reciprocal Rank Fusion in Apache Solr
We explore the Combined Query Feature using Reciprocal Rank Fusion in Apache Solr with a hands-on approach.

We explore the Combined Query Feature using Reciprocal Rank Fusion in Apache Solr with a hands-on approach.

In this blog we explores our recent contribution to Apache Solr that introduces support for SeededKnnVectorQuery.

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.

This blog post explores binary vector quantization and the recent Solr contribution which adds support for this technique.

This blog post explores scalar vector quantization and the recent Solr contribution which adds support for this technique.

As companies rush to embed generative AI into search, support, and decision-making, the real competitive edge won’t come from scale alone, but from how responsibly

In this blog we explores an early termination strategy designed to make approximate k-NN search faster in Apache Solr.

In this blog post, we provide a comprehensive overview of the features based on large language models (LLM) currently supported by OpenSearch.

In this blog post, we examine the ColBERT paper, which adapts deep learning models, in particular, BERT, for efficient retrieval.

This blog post explores GLiNER as a viable alternative to large language models (LLMs) for query parsing tasks.
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.
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