"OpenSearch k-NN 向量检索索引与查询实战"

OpenSearch k-NN 向量检索索引与查询实战索引与映射PUT /vectors { "settings": { "index.knn": true }, "mappings": { "properties": { "title": { "type": "text" }, "vec": { "type": "knn_vector", "dimension": 768 } } } } 插入POST /vectors/_doc { "title": "doc1", "vec": [0.12, 0.03, ...] } 查询（k-NN）POST /vectors/_search { "knn": { "field": "vec", "query_vector": [0.11, 0.02, ...], "k": 10, "num_candidates": 100 } } 总结启用 `index.knn` 并使用 `knn_vector` 映射即可进行向量检索，`num_candidates` 影响召回与性能。