EmbeddingList

Addedv2.6.x

An EmbeddingList instance represents a list of vector embeddings. You can use an EmbeddingList instance to build the query vectors in a search against a vector field in an Array of Structs field.

io.milvus.v2.service.vector.request.data.EmbeddingList

Constructor

Constructs an empty embedding list or a list of given vector embeddings.

EmbeddingList()

RETURN TYPE:

EmbeddingList

RETURNS:

An EmbeddingList instance comprises one or multiple vector embeddings. You can use it to search against the vector fields in the Struct elements of an Array of Structs field.

Examples:

import io.milvus.v2.client.ConnectConfig;
import io.milvus.v2.client.MilvusClientV2;
import io.milvus.v2.service.vector.request.data.EmbeddingList;
import io.milvus.v2.service.vector.request.SearchReq;
import io.milvus.v2.service.vector.response.SearchResp;

// 1. Set up a client
ConnectConfig connectConfig = ConnectConfig.builder()
        .uri("YOUR_CLUSTER_ENDPOINT")
        .token("YOUR_CLUSTER_TOKEN")
        .build();
        
// 2. Initialize EmbeddingList
EmbeddingList embeddingList1 = new EmbeddingList();
embeddingList1.add(new FloatVec(vector1));
embeddingList1.add(new FloatVec(vector2));

EmbeddingList embeddingList2 = new EmbeddingList();
embeddingList2.add(new FloatVec(vector3));
embeddingList2.add(new FloatVec(vector4));

SearchResp searchResp = client.search(SearchReq.builder()
        .collectionName(COLLECTION_NAME)
        .annsField(annName)
        .data(Arrays.asList(embeddingList1, embeddingList2))
        .limit(10)
        .build());