OpenSearch Neural Search Tutorial: How Filtering Works
This blog post is about how Filtering works in OpenSearch, exploring its importance, and how it is handle in vector search.
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 goal of this blog post is to highlight new vector search capabilities introduced in version 8.8.0, especially ESRE
This blog post showcases the vector search improvements that have been introduced in the latest versions of Elasticsearch (8.6 and 8.7)
This blog post explains all the steps required to implement Text Embedding and Vector Search directly in Elasticsearch in a very simple way.
In this blog post, we show in practice how you can use Elasticsearch to run a full end-to-end neural search.
In this blog post, we show in practice how you use Apache Solr to index and search vectors and then run a full end-to-end neural search.
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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