Semantic search and everything related to machine learning has become a very popular topic. To be honest, it’s not only semantic search itself but, due to the massive popularity of so-called Large Language Models and more, many organizations using Solr are trying to implement various query logic based on machine models, RAG techniques, or rescoring. Since it’s been relatively quiet on this front for a while, it’s time to delve into the topic. In this post, we’ll focus on search and explore what Solr has to offer for data retrieval based on vectors.
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