稠密向量与稀疏向量高阶混合检索

public SearchRes hybridSearch(@NotNull  HybridSearchParam param)

// link database
Database db = client.database("db-test");
// link collection
Collection collection = db.collection("book-vector");
SparseVectorBm25Encoder encoder = SparseVectorBm25Encoder.getBm25Encoder("zh");
HybridSearchParam hybridSearchParam = HybridSearchParam.newBuilder()
        .withAnn(Arrays.asList(AnnOption.newBuilder().withFieldName("vector")
                .withData((Arrays.asList(0.3123, 0.43, 0.213)))
                .build()))
        .withMatch(Arrays.asList(MatchOption.newBuilder().withFieldName("sparse_vector")
                 .withData(encoder.encodeQueries(Arrays.asList("正大光明，忠良善果弥深")))
                 .build()))
          // 指定 Top K 的 K 值
         .withRerank(new WeightRerankParam(Arrays.asList("vector","sparse_vector"), Arrays.asList(0.9, 0.1)))
         .withLimit(1)
         .withRetrieveVector(true)
         .build();
List<List<Document>> siDocs = collection.hybridSearch(hybridSearchParam).getDocuments();
int i = 0;
for (List<Document> docs : siDocs) {
    System.out.println("\\tres: " + i++);
    for (Document doc : docs) {
        System.out.println("\\tres: " + doc.toString());
    }
}