feat: add experimental support for embeddings as arrays

Makefile

@@ -3,7 +3,7 @@ GOTEST=$(GOCMD) test
 GOVET=$(GOCMD) vet
 BINARY_NAME=local-ai
 
-GOLLAMA_VERSION?=cf9b522db63898dcc5eb86e37c979ab85cbd583e
+GOLLAMA_VERSION?=b4e97a42d0c10ada6b529b0ec17b05c72435aeab
 GOGPT4ALLJ_VERSION?=1f7bff57f66cb7062e40d0ac3abd2217815e5109
 GOGPT2_VERSION?=245a5bfe6708ab80dc5c733dcdbfbe3cfd2acdaa
 RWKV_REPO?=https://github.com/donomii/go-rwkv.cpp

api/config.go

@@ -33,6 +33,7 @@ type Config struct {
 	Mirostat       int               `yaml:"mirostat"`
 
 	PromptStrings, InputStrings []string
+	InputToken                  [][]int
 }
 
 type TemplateConfig struct {
@@ -186,8 +187,15 @@ func updateConfig(config *Config, input *OpenAIRequest) {
 		}
 	case []interface{}:
 		for _, pp := range inputs {
-			if s, ok := pp.(string); ok {
-				config.InputStrings = append(config.InputStrings, s)
+			switch i := pp.(type) {
+			case string:
+				config.InputStrings = append(config.InputStrings, i)
+			case []interface{}:
+				tokens := []int{}
+				for _, ii := range i {
+					tokens = append(tokens, int(ii.(float64)))
+				}
+				config.InputToken = append(config.InputToken, tokens)
 			}
 		}
 	}

api/openai.go

@@ -177,10 +177,23 @@ func embeddingsEndpoint(cm ConfigMerger, debug bool, loader *model.ModelLoader,
 		log.Debug().Msgf("Parameter Config: %+v", config)
 		items := []Item{}
 
-		for i, s := range config.InputStrings {
+		for i, s := range config.InputToken {
+			// get the model function to call for the result
+			embedFn, err := ModelEmbedding("", s, loader, *config)
+			if err != nil {
+				return err
+			}
 
+			embeddings, err := embedFn()
+			if err != nil {
+				return err
+			}
+			items = append(items, Item{Embedding: embeddings, Index: i, Object: "embedding"})
+		}
+
+		for i, s := range config.InputStrings {
 			// get the model function to call for the result
-			embedFn, err := ModelEmbedding(s, loader, *config)
+			embedFn, err := ModelEmbedding(s, []int{}, loader, *config)
 			if err != nil {
 				return err
 			}

api/prediction.go

@@ -32,7 +32,7 @@ func defaultLLamaOpts(c Config) []llama.ModelOption {
 	return llamaOpts
 }
 
-func ModelEmbedding(s string, loader *model.ModelLoader, c Config) (func() ([]float32, error), error) {
+func ModelEmbedding(s string, tokens []int, loader *model.ModelLoader, c Config) (func() ([]float32, error), error) {
 	if !c.Embeddings {
 		return nil, fmt.Errorf("endpoint disabled for this model by API configuration")
 	}
@@ -57,6 +57,9 @@ func ModelEmbedding(s string, loader *model.ModelLoader, c Config) (func() ([]fl
 	case *llama.LLama:
 		fn = func() ([]float32, error) {
 			predictOptions := buildLLamaPredictOptions(c)
+			if len(tokens) > 0 {
+				return model.TokenEmbeddings(tokens, predictOptions...)
+			}
 			return model.Embeddings(s, predictOptions...)
 		}
 	default: