Neural sparse search first expands text into a larger set of terms, each weighted by its semantic relevance, then uses Lucene’s efficient term vector computation to identify the highest-scoring results. Learn more: https://opensearch.org/blog/Introducing-a-neural-sparse-two-phase-algorithm/ #OpenSearch
Introducing the neural sparse two-phase algorithm
We are excited to announce the release of a new feature in OpenSearch 2.15, a two-phase search pipeline for neural sparse retrieval. In testing, this feature has achieved significant speed improvements.OpenSearch
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