mirror of https://github.com/milvus-io/milvus.git
148 lines
5.0 KiB
Go
148 lines
5.0 KiB
Go
/*
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* # Licensed to the LF AI & Data foundation under one
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* # or more contributor license agreements. See the NOTICE file
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* # distributed with this work for additional information
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* # regarding copyright ownership. The ASF licenses this file
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* # to you under the Apache License, Version 2.0 (the
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* # "License"); you may not use this file except in compliance
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* # with the License. You may obtain a copy of the License at
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* #
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* # http://www.apache.org/licenses/LICENSE-2.0
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* #
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* # Unless required by applicable law or agreed to in writing, software
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* # distributed under the License is distributed on an "AS IS" BASIS,
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* # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* # See the License for the specific language governing permissions and
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* # limitations under the License.
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*/
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package function
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import (
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"fmt"
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"os"
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"strings"
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"github.com/milvus-io/milvus-proto/go-api/v2/schemapb"
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"github.com/milvus-io/milvus/internal/util/function/models/cohere"
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"github.com/milvus-io/milvus/pkg/v2/util/typeutil"
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)
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type CohereEmbeddingProvider struct {
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fieldDim int64
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client *cohere.CohereEmbedding
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modelName string
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truncate string
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maxBatch int
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timeoutSec int64
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}
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func createCohereEmbeddingClient(apiKey string, url string) (*cohere.CohereEmbedding, error) {
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if apiKey == "" {
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apiKey = os.Getenv(cohereAIAKEnvStr)
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}
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if apiKey == "" {
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return nil, fmt.Errorf("Missing credentials. Please pass `api_key`, or configure the %s environment variable in the Milvus service.", cohereAIAKEnvStr)
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}
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if url == "" {
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url = "https://api.cohere.com/v2/embed"
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}
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c := cohere.NewCohereEmbeddingClient(apiKey, url)
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return c, nil
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}
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func NewCohereEmbeddingProvider(fieldSchema *schemapb.FieldSchema, functionSchema *schemapb.FunctionSchema) (*CohereEmbeddingProvider, error) {
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fieldDim, err := typeutil.GetDim(fieldSchema)
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if err != nil {
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return nil, err
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}
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var apiKey, url, modelName string
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truncate := "END"
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for _, param := range functionSchema.Params {
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switch strings.ToLower(param.Key) {
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case modelNameParamKey:
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modelName = param.Value
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case apiKeyParamKey:
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apiKey = param.Value
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case embeddingURLParamKey:
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url = param.Value
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case truncateParamKey:
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if param.Value != "NONE" && param.Value != "START" && param.Value != "END" {
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return nil, fmt.Errorf("Illegal parameters, %s only supports [NONE, START, END]", truncateParamKey)
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}
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truncate = param.Value
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default:
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}
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}
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if modelName != embedEnglishV30 && modelName != embedMultilingualV30 && modelName != embedEnglishLightV30 && modelName != embedMultilingualLightV30 && modelName != embedEnglishV20 && modelName != embedEnglishLightV20 && modelName != embedMultilingualV20 {
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return nil, fmt.Errorf("Unsupported model: %s, only support [%s, %s, %s, %s, %s, %s, %s]",
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modelName, embedEnglishV30, embedMultilingualV30, embedEnglishLightV30, embedMultilingualLightV30, embedEnglishV20, embedEnglishLightV20, embedMultilingualV20)
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}
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c, err := createCohereEmbeddingClient(apiKey, url)
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if err != nil {
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return nil, err
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}
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provider := CohereEmbeddingProvider{
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client: c,
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fieldDim: fieldDim,
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modelName: modelName,
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truncate: truncate,
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maxBatch: 96,
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timeoutSec: 30,
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}
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return &provider, nil
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}
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func (provider *CohereEmbeddingProvider) MaxBatch() int {
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return 5 * provider.maxBatch
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}
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func (provider *CohereEmbeddingProvider) FieldDim() int64 {
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return provider.fieldDim
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}
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// Specifies the type of input passed to the model. Required for embedding models v3 and higher.
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func (provider *CohereEmbeddingProvider) getInputType(mode TextEmbeddingMode) string {
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if provider.modelName == embedEnglishV20 || provider.modelName == embedEnglishLightV20 || provider.modelName == embedMultilingualV20 {
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return ""
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}
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if mode == InsertMode {
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return "search_document" // Used for embeddings stored in a vector database for search use-cases.
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}
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return "search_query" // Used for embeddings of search queries run against a vector DB to find relevant documents.
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}
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func (provider *CohereEmbeddingProvider) CallEmbedding(texts []string, mode TextEmbeddingMode) ([][]float32, error) {
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numRows := len(texts)
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inputType := provider.getInputType(mode)
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data := make([][]float32, 0, numRows)
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for i := 0; i < numRows; i += provider.maxBatch {
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end := i + provider.maxBatch
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if end > numRows {
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end = numRows
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}
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resp, err := provider.client.Embedding(provider.modelName, texts[i:end], inputType, "float", provider.truncate, provider.timeoutSec)
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if err != nil {
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return nil, err
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}
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if end-i != len(resp.Embeddings.Float) {
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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))
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}
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for _, embedding := range resp.Embeddings.Float {
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if len(embedding) != int(provider.fieldDim) {
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return nil, fmt.Errorf("The required embedding dim is [%d], but the embedding obtained from the model is [%d]",
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provider.fieldDim, len(embedding))
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}
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}
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data = append(data, resp.Embeddings.Float...)
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}
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return data, nil
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}
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