Description
Adds neural search features to OpenSearch. It connects search indexes with machine-learning models so applications can support semantic search and other model-assisted retrieval patterns.
Use it when users need results based on meaning, similarity, or embeddings instead of only keyword matches. Review model sources, private data exposure, latency, and resource use before enabling it for production traffic.