milvus/internal/util/function/embedding/voyageai_embedding_provider.go
junjiejiangjjj f3d7e47227
feat: Supports more rerankers (#43270)
https://github.com/milvus-io/milvus/issues/35856

Signed-off-by: junjiejiangjjj <junjie.jiang@zilliz.com>
2025-08-22 17:29:47 +08:00

175 lines
5.3 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 (
"fmt"
"strconv"
"strings"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/internal/util/credentials"
"github.com/milvus-io/milvus/internal/util/function/models"
"github.com/milvus-io/milvus/internal/util/function/models/voyageai"
"github.com/milvus-io/milvus/pkg/v2/util/typeutil"
)
type VoyageAIEmbeddingProvider struct {
fieldDim int64
client *voyageai.VoyageAIClient
url string
modelName string
embedDimParam int64
truncate bool
embdType models.EmbeddingType
outputType string
maxBatch int
timeoutSec int64
}
func NewVoyageAIEmbeddingProvider(fieldSchema *schemapb.FieldSchema, functionSchema *schemapb.FunctionSchema, params map[string]string, credentials *credentials.Credentials) (*VoyageAIEmbeddingProvider, error) {
fieldDim, err := typeutil.GetDim(fieldSchema)
if err != nil {
return nil, err
}
apiKey, url, err := models.ParseAKAndURL(credentials, functionSchema.Params, params, models.VoyageAIAKEnvStr)
if err != nil {
return nil, err
}
var modelName string
dim := int64(0)
truncate := false
for _, param := range functionSchema.Params {
switch strings.ToLower(param.Key) {
case models.ModelNameParamKey:
modelName = param.Value
case models.DimParamKey:
// Only voyage-3-large and voyage-code-3 support dim param: 1024 (default), 256, 512, 2048
dim, err = models.ParseAndCheckFieldDim(param.Value, fieldDim, fieldSchema.Name)
if err != nil {
return nil, err
}
case models.TruncationParamKey:
if truncate, err = strconv.ParseBool(param.Value); err != nil {
return nil, fmt.Errorf("[%s param's value: %s] is invalid, only supports: [true/false]", models.TruncationParamKey, param.Value)
}
default:
}
}
c, err := voyageai.NewVoyageAIClient(apiKey)
if err != nil {
return nil, err
}
if url == "" {
url = "https://api.voyageai.com/v1/embeddings"
}
embdType := models.GetEmbdType(fieldSchema.DataType)
if embdType == models.UnsupportEmbd {
return nil, fmt.Errorf("Unsupport output type: %s", fieldSchema.DataType)
}
outputType := func() string {
if embdType == models.Float32Embd {
return "float"
}
return "int8"
}()
provider := VoyageAIEmbeddingProvider{
client: c,
url: url,
fieldDim: fieldDim,
modelName: modelName,
truncate: truncate,
embedDimParam: dim,
embdType: embdType,
outputType: outputType,
maxBatch: 128,
timeoutSec: 30,
}
return &provider, nil
}
func (provider *VoyageAIEmbeddingProvider) MaxBatch() int {
return 5 * provider.maxBatch
}
func (provider *VoyageAIEmbeddingProvider) FieldDim() int64 {
return provider.fieldDim
}
func (provider *VoyageAIEmbeddingProvider) CallEmbedding(texts []string, mode models.TextEmbeddingMode) (any, error) {
numRows := len(texts)
var textType string
if mode == models.InsertMode {
textType = "document"
} else {
textType = "query"
}
embRet := models.NewEmbdResult(numRows, provider.embdType)
for i := 0; i < numRows; i += provider.maxBatch {
end := i + provider.maxBatch
if end > numRows {
end = numRows
}
r, err := provider.client.Embedding(provider.url, provider.modelName, texts[i:end], int(provider.embedDimParam), textType, provider.outputType, provider.truncate, provider.timeoutSec)
if err != nil {
return nil, err
}
if provider.embdType == models.Float32Embd {
resp := r.(*voyageai.EmbeddingResponse[float32])
if end-i != len(resp.Data) {
return nil, fmt.Errorf("Get embedding failed. The number of texts and embeddings does not match text:[%d], embedding:[%d]", end-i, len(resp.Data))
}
for _, item := range resp.Data {
if len(item.Embedding) != int(provider.fieldDim) {
return nil, fmt.Errorf("The required embedding dim is [%d], but the embedding obtained from the model is [%d]",
provider.fieldDim, len(item.Embedding))
}
embRet.Append(item.Embedding)
}
} else {
resp := r.(*voyageai.EmbeddingResponse[int8])
if end-i != len(resp.Data) {
return nil, fmt.Errorf("Get embedding failed. The number of texts and embeddings does not match text:[%d], embedding:[%d]", end-i, len(resp.Data))
}
for _, item := range resp.Data {
if len(item.Embedding) != int(provider.fieldDim) {
return nil, fmt.Errorf("The required embedding dim is [%d], but the embedding obtained from the model is [%d]",
provider.fieldDim, len(item.Embedding))
}
embRet.Append(item.Embedding)
}
}
}
if embRet.EmbdType == models.Float32Embd {
return embRet.FloatEmbds, nil
}
return embRet.Int8Embds, nil
}