# Learned Sparse Retrieval
Opensearch Neural Sparse Encoding Doc V2 Mini
Apache-2.0
OpenSearch's learned sparse retrieval model v2 mini version, encoding documents into sparse vectors to optimize search relevance and efficiency
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Transformers English

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opensearch-project
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Opensearch Neural Sparse Encoding V2 Distill
Apache-2.0
The OpenSearch Neural Sparse Encoding Model v2 Distilled is an efficient learned sparse retrieval model designed for OpenSearch, capable of encoding queries and documents into 30,522-dimensional sparse vectors.
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Transformers English

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opensearch-project
4,964
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