
Evaluating Solr Vector Search with Quepid
This blog post explore a practical way to evaluate the performance of vector search results in Apache Solr.

This blog post explore a practical way to evaluate the performance of vector search results in Apache Solr.

The new implementation of hybrid search (from OpenSearch 2.10), allows for the combination and normalization of query relevance scores.

This blog post is about how Filtering works in OpenSearch, exploring its importance, and how it is handle in vector search.

It explores the OpenSearch k-NN Plugin, which offers 3 different approaches for retrieving the k-nearest neighbors from a vector index.

The second part of OpenSearch Neural Search Plugin Tutorial for version 2.4.0 where additional tools can be found that might be useful

The goal of this blog post is to highlight new vector search capabilities introduced in version 8.8.0, especially ESRE
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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