/* * # Licensed to the LF AI & Data foundation under one * # or more contributor license agreements. See the NOTICE file * # distributed with this work for additional information * # regarding copyright ownership. The ASF licenses this file * # to you under the Apache License, Version 2.0 (the * # "License"); you may not use this file except in compliance * # with the License. You may obtain a copy of the License at * # * # http://www.apache.org/licenses/LICENSE-2.0 * # * # Unless required by applicable law or agreed to in writing, software * # distributed under the License is distributed on an "AS IS" BASIS, * # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * # See the License for the specific language governing permissions and * # limitations under the License. */ package embedding import ( "context" "strings" "github.com/milvus-io/milvus-proto/go-api/v2/schemapb" "github.com/milvus-io/milvus/internal/util/function/models" "github.com/milvus-io/milvus/internal/util/function/models/zilliz" "github.com/milvus-io/milvus/pkg/v2/util/typeutil" ) type ZillizEmbeddingProvider struct { fieldDim int64 client *zilliz.ZillizClient modelName string maxBatch int modelParams map[string]string extraInfo *models.ModelExtraInfo } func NewZillizEmbeddingProvider(fieldSchema *schemapb.FieldSchema, functionSchema *schemapb.FunctionSchema, params map[string]string, extraInfo *models.ModelExtraInfo) (*ZillizEmbeddingProvider, error) { fieldDim, err := typeutil.GetDim(fieldSchema) if err != nil { return nil, err } var modelDeploymentID string modelParams := map[string]string{} for _, param := range functionSchema.Params { switch strings.ToLower(param.Key) { case models.ModelDeploymentIDKey: modelDeploymentID = param.Value default: modelParams[param.Key] = param.Value } } c, err := zilliz.NewZilliClient(modelDeploymentID, extraInfo.ClusterID, extraInfo.DBName, params) if err != nil { return nil, err } maxBatch := 64 provider := ZillizEmbeddingProvider{ client: c, fieldDim: fieldDim, maxBatch: maxBatch, modelParams: modelParams, extraInfo: extraInfo, } return &provider, nil } func (provider *ZillizEmbeddingProvider) MaxBatch() int { return 5 * provider.maxBatch } func (provider *ZillizEmbeddingProvider) FieldDim() int64 { return provider.fieldDim } func (provider *ZillizEmbeddingProvider) CallEmbedding(ctx context.Context, texts []string, mode models.TextEmbeddingMode) (any, error) { numRows := len(texts) if mode == models.SearchMode { provider.modelParams["input_type"] = "query" } else { provider.modelParams["input_type"] = "document" } data := make([][]float32, 0, numRows) for i := 0; i < numRows; i += provider.maxBatch { end := i + provider.maxBatch if end > numRows { end = numRows } embds, err := provider.client.Embedding(ctx, texts[i:end], provider.modelParams) if err != nil { return nil, err } data = append(data, embds...) } return data, nil }