Video by NetApp Instaclustr via YouTube
Learn how OpenSearch’s sparse_vector field type enables neural sparse search — and see it running live on an OpenSearch cluster, all in under 6 minutes.
In this video, Ramya breaks down what sparse_vector is, how it differs from knn_vector, the key parameters you need to know when configuring it, and walks through a complete working example on OpenSearch Dashboards. By the end, you’ll know how to create a sparse vector index, ingest documents with token-weight pairs, run your first neural sparse search query — and how to decide when to use sparse_vector versus knn_vector.
If you haven’t seen the knn_vector video yet, I’d recommend starting there for context — it covers the dense vector side of the same story.
Watch now: https://youtu.be/lzygNYpVT-s
Learn more:
▶️ Full blog article (deep dive): https://www.instaclustr.com/blog/understanding-opensearch-vector-field-type-part-2-sparse_vector/
▶️ Try NetApp Instaclustr free trial: https://console2.instaclustr.com/signup
▶️ How to create an OpenSearch cluster on Instaclustr: https://www.youtube.com/watch?v=2RU-YqW5zsk
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