Elasticsearch Relevance Engine: Combining AI With Elastic’s Text Search
The goal of this blog post is to highlight new vector search capabilities introduced in version 8.8.0, especially ESRE
The goal of this blog post is to highlight new vector search capabilities introduced in version 8.8.0, especially ESRE
Large Language Models (LLM) are ubiquitous nowadays, it’s the new big thing and everyone is talking about the greatest and latest!But one of the main
We are delighted to announce the sixteenth edition of the London Information Retrieval Meetup with great news: the event will be hybrid!
Discover in this blog post the Solr Neural Highlighter Plugin, which uses deep learning to highlight essential text for query answering.
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.
Our team members Ilaria and Anna will speak at the upcoming worldwide ElasticON conference about our experience with Elastic.
This blog post shows an example of how to create an Apache Solr performance test using the Apache JMeter tool.
An end-to-end tutorial to implement Neural Search in Vespa. From documents and model preparation, to embeddings creation and k-NN queries.
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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