milvus/internal/util/function/embedding/zilliz_embedding_provider.go
junjiejiangjjj d3164e8030
feat: add configurable batch factor and runtime check bypass for embedding functions (#45592)
https://github.com/milvus-io/milvus/issues/45544
- Add batch_factor configuration parameter (default: 5) to control
embedding provider batch sizes
- Add disable_func_runtime_check property to bypass function validation
during collection creation
- Add database interceptor support for AddCollectionFunction,
AlterCollectionFunction, and DropCollectionFunction requests

Signed-off-by: junjie.jiang <junjie.jiang@zilliz.com>
2025-11-20 19:55:04 +08:00

105 lines
3.0 KiB
Go

/*
* # 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 provider.extraInfo.BatchFactor * 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
}