milvus/internal/util/function/cohere_embedding_provider.go

148 lines
5.0 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 function
import (
"fmt"
"os"
"strings"
"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
"github.com/milvus-io/milvus/internal/util/function/models/cohere"
"github.com/milvus-io/milvus/pkg/v2/util/typeutil"
)
type CohereEmbeddingProvider struct {
fieldDim int64
client *cohere.CohereEmbedding
modelName string
truncate string
maxBatch int
timeoutSec int64
}
func createCohereEmbeddingClient(apiKey string, url string) (*cohere.CohereEmbedding, error) {
if apiKey == "" {
apiKey = os.Getenv(cohereAIAKEnvStr)
}
if apiKey == "" {
return nil, fmt.Errorf("Missing credentials. Please pass `api_key`, or configure the %s environment variable in the Milvus service.", cohereAIAKEnvStr)
}
if url == "" {
url = "https://api.cohere.com/v2/embed"
}
c := cohere.NewCohereEmbeddingClient(apiKey, url)
return c, nil
}
func NewCohereEmbeddingProvider(fieldSchema *schemapb.FieldSchema, functionSchema *schemapb.FunctionSchema) (*CohereEmbeddingProvider, error) {
fieldDim, err := typeutil.GetDim(fieldSchema)
if err != nil {
return nil, err
}
var apiKey, url, modelName string
truncate := "END"
for _, param := range functionSchema.Params {
switch strings.ToLower(param.Key) {
case modelNameParamKey:
modelName = param.Value
case apiKeyParamKey:
apiKey = param.Value
case embeddingURLParamKey:
url = param.Value
case truncateParamKey:
if param.Value != "NONE" && param.Value != "START" && param.Value != "END" {
return nil, fmt.Errorf("Illegal parameters, %s only supports [NONE, START, END]", truncateParamKey)
}
truncate = param.Value
default:
}
}
if modelName != embedEnglishV30 && modelName != embedMultilingualV30 && modelName != embedEnglishLightV30 && modelName != embedMultilingualLightV30 && modelName != embedEnglishV20 && modelName != embedEnglishLightV20 && modelName != embedMultilingualV20 {
return nil, fmt.Errorf("Unsupported model: %s, only support [%s, %s, %s, %s, %s, %s, %s]",
modelName, embedEnglishV30, embedMultilingualV30, embedEnglishLightV30, embedMultilingualLightV30, embedEnglishV20, embedEnglishLightV20, embedMultilingualV20)
}
c, err := createCohereEmbeddingClient(apiKey, url)
if err != nil {
return nil, err
}
provider := CohereEmbeddingProvider{
client: c,
fieldDim: fieldDim,
modelName: modelName,
truncate: truncate,
maxBatch: 96,
timeoutSec: 30,
}
return &provider, nil
}
func (provider *CohereEmbeddingProvider) MaxBatch() int {
return 5 * provider.maxBatch
}
func (provider *CohereEmbeddingProvider) FieldDim() int64 {
return provider.fieldDim
}
// Specifies the type of input passed to the model. Required for embedding models v3 and higher.
func (provider *CohereEmbeddingProvider) getInputType(mode TextEmbeddingMode) string {
if provider.modelName == embedEnglishV20 || provider.modelName == embedEnglishLightV20 || provider.modelName == embedMultilingualV20 {
return ""
}
if mode == InsertMode {
return "search_document" // Used for embeddings stored in a vector database for search use-cases.
}
return "search_query" // Used for embeddings of search queries run against a vector DB to find relevant documents.
}
func (provider *CohereEmbeddingProvider) CallEmbedding(texts []string, mode TextEmbeddingMode) ([][]float32, error) {
numRows := len(texts)
inputType := provider.getInputType(mode)
data := make([][]float32, 0, numRows)
for i := 0; i < numRows; i += provider.maxBatch {
end := i + provider.maxBatch
if end > numRows {
end = numRows
}
resp, err := provider.client.Embedding(provider.modelName, texts[i:end], inputType, "float", provider.truncate, provider.timeoutSec)
if err != nil {
return nil, err
}
if end-i != len(resp.Embeddings.Float) {
return nil, fmt.Errorf("Get embedding failed. The number of texts and embeddings does not match text:[%d], embedding:[%d]", end-i, len(resp.Embeddings.Float))
}
for _, embedding := range resp.Embeddings.Float {
if len(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(embedding))
}
}
data = append(data, resp.Embeddings.Float...)
}
return data, nil
}