Best Practices for OpenSearch Vector Search
Understand OpenSearch-specific vector search concepts, including k-NN engines, filtering, index tuning, and when to use OpenSearch for vector workloads.
OpenSearch Vector Search Concepts
Last verified 13 Jul 2026
DigitalOcean Managed OpenSearch for vector search uses the same managed OpenSearch engine available under Managed Databases. It bundles the k-NN, ML Commons, and Neural Search plugins for vector similarity search, hybrid vector and keyword search, and remote embedding models.
Best Practices for OpenSearch Hybrid Search
Tune OpenSearch hybrid search with search pipelines, candidate counts, filters, sub-query design, and representative relevance tests.
Score Normalization Best Practices
Understand how OpenSearch normalizes and combines keyword and vector scores in hybrid search.
k-NN Index Best Practices
Best practices for choosing k-NN engines, space types, HNSW parameters, shards, replicas, and refresh intervals for OpenSearch vector indexes.