feat: New FlagEmbedding models

README.md

@@ -25,8 +25,11 @@ The default embedding supports "query" and "passage" prefixes for the input text
 
 ## 🤖 Models
 
+- [**BAAI/bge-base-en**](https://huggingface.co/BAAI/bge-base-en)
 - [**BAAI/bge-base-en-v1.5**](https://huggingface.co/BAAI/bge-base-en-v1.5)
+- [**BAAI/bge-small-en**](https://huggingface.co/BAAI/bge-small-en)
 - [**BAAI/bge-small-en-v1.5**](https://huggingface.co/BAAI/bge-small-en-v1.5) - Default
+- [**BAAI/bge-base-zh-v1.5**](https://huggingface.co/BAAI/bge-base-zh-v1.5)
 - [**sentence-transformers/all-MiniLM-L6-v2**](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2)
 
 ## 🚀 Installation

fastembed.go

@@ -26,7 +26,10 @@ type EmbeddingModel string
 const (
 	AllMiniLML6V2 EmbeddingModel = "fast-all-MiniLM-L6-v2"
 	BGEBaseEN     EmbeddingModel = "fast-bge-base-en"
+	BGEBaseENV15  EmbeddingModel = "fast-bge-base-en-v1.5"
 	BGESmallEN    EmbeddingModel = "fast-bge-small-en"
+	BGESmallENV15 EmbeddingModel = "fast-bge-small-en-v1.5"
+	BGESmallZH    EmbeddingModel = "fast-bge-small-zh-v1.5"
 
 // A model with type "Unigram" is not yet supported by the tokenizer
 // Ref: https://github.com/sugarme/tokenizer/blob/448e79b1ed65947b8c6343bf9aa39e78364f45c8/pretrained/model.go#L152
@@ -79,7 +82,7 @@ func NewFlagEmbedding(options *InitOptions) (*FlagEmbedding, error) {
 	}
 
 	if options.Model == "" {
-		options.Model = BGESmallEN
+		options.Model = BGESmallENV15
 	}
 
 	if options.MaxLength == 0 {
@@ -281,10 +284,25 @@ func ListSupportedModels() []ModelInfo {
 			Dim:         768,
 			Description: "Base English model",
 		},
+		{
+			Model:       BGEBaseENV15,
+			Dim:         768,
+			Description: "v1.5 release of the base English model",
+		},
 		{
 			Model:       BGESmallEN,
 			Dim:         384,
-			Description: "Fast and Default English model",
+			Description: "Fast English model",
+		},
+		{
+			Model:       BGESmallENV15,
+			Dim:         384,
+			Description: "Fast, default English model",
+		},
+		{
+			Model:       BGESmallZH,
+			Dim:         512,
+			Description: "Fast Chinese model",
 		},
 		// {
 		// 	Model:       MLE5Large,

fastembed_test.go

@@ -5,95 +5,14 @@ import (
 	"testing"
 )
 
-func TestEmbedBGEBaseEN(t *testing.T) {
-	// Test with a single input
-	fe, err := NewFlagEmbedding(&InitOptions{
-		Model: BGEBaseEN,
-	})
-	defer fe.Destroy()
-	if err != nil {
-		t.Fatalf("Expected no error, got %v", err)
-	}
-	input := []string{"hello world"}
-	result, err := fe.Embed(input, 1)
-	if err != nil {
-		t.Fatalf("Expected no error, got %v", err)
-	}
-
-	if len(result) != len(input) {
-		t.Errorf("Expected result length %v, got %v", len(input), len(result))
-	}
-}
-
-func TestEmbedAllMiniLML6V2(t *testing.T) {
-	// Test with a single input
-	fe, err := NewFlagEmbedding(&InitOptions{
-		Model: AllMiniLML6V2,
-	})
-	defer fe.Destroy()
-	if err != nil {
-		t.Fatalf("Expected no error, got %v", err)
-	}
-	input := []string{"hello world"}
-	result, err := fe.Embed(input, 1)
-	if err != nil {
-		t.Fatalf("Expected no error, got %v", err)
-	}
-
-	if len(result) != len(input) {
-		t.Errorf("Expected result length %v, got %v", len(input), len(result))
-	}
-}
-
-func TestEmbedBGESmallEN(t *testing.T) {
-	// Test with a single input
-	fe, err := NewFlagEmbedding(&InitOptions{
-		Model: BGESmallEN,
-	})
-	defer fe.Destroy()
-	if err != nil {
-		t.Fatalf("Expected no error, got %v", err)
-	}
-	input := []string{"hello world"}
-	result, err := fe.Embed(input, 1)
-	if err != nil {
-		t.Fatalf("Expected no error, got %v", err)
-	}
-
-	if len(result) != len(input) {
-		t.Errorf("Expected result length %v, got %v", len(input), len(result))
-	}
-}
-
-// A model type "Unigram" is not yet supported by the tokenizer
-// Ref: https://github.com/sugarme/tokenizer/blob/448e79b1ed65947b8c6343bf9aa39e78364f45c8/pretrained/model.go#L152
-// func TestEmbedMLE5Large(t *testing.T) {
-// 	// Test with a single input
-// 	show := false
-// 	fe, err := NewFlagEmbedding(&InitOptions{
-// 		Model:                MLE5Large,
-// 		ShowDownloadProgress: &show,
-// 	})
-// 	defer fe.Destroy()
-// 	if err != nil {
-// 		t.Fatalf("Expected no error, got %v", err)
-// 	}
-// 	input := []string{"hello world"}
-// 	result, err := fe.Embed(input, 1)
-// 	if err != nil {
-// 		t.Fatalf("Expected no error, got %v", err)
-// 	}
-
-// 	if len(result) != len(input) {
-// 		t.Errorf("Expected result length %v, got %v", len(input), len(result))
-// 	}
-// }
-
 func TestCanonicalValues(T *testing.T) {
 	canonicalValues := map[EmbeddingModel]([]float32){
-		AllMiniLML6V2: []float32{0.02591, 0.00573, 0.01147, 0.03796, -0.02328, -0.05493, 0.014040, -0.01079, -0.02440, -0.01822},
-		BGESmallEN:    []float32{-0.02313, -0.02552, 0.017357, -0.06393, -0.00061, 0.02212, -0.01472, 0.03925, 0.03444, 0.00459},
-		BGEBaseEN:     []float32{0.01140, 0.03722, 0.02941, 0.01230, 0.03451, 0.00876, 0.02356, 0.05414, -0.02945, -0.05472},
+		AllMiniLML6V2: []float32{0.02591, 0.00573, 0.01147, 0.03796, -0.02328},
+		BGESmallEN:    []float32{-0.02313, -0.02552, 0.017357, -0.06393, -0.00061},
+		BGEBaseEN:     []float32{0.01140, 0.03722, 0.02941, 0.01230, 0.03451},
+		BGEBaseENV15:  []float32{0.01129394, 0.05493144, 0.02615099, 0.00328772, 0.02996045},
+		BGESmallENV15: []float32{0.01522374, -0.02271799, 0.00860278, -0.07424029, 0.00386434},
+		BGESmallZH:    []float32{-0.01023294, 0.07634465, 0.0691722, -0.04458365, -0.03160762},
 	}
 
 	for model, expected := range canonicalValues {
@@ -114,10 +33,10 @@ func TestCanonicalValues(T *testing.T) {
 			T.Errorf("Expected result length %v, got %v", len(input), len(result))
 		}
 
-		epsilon := float64(1e-5)
+		epsilon := float64(1e-4)
 		for i, v := range expected {
 			if math.Abs(float64(result[0][i]-v)) > float64(epsilon) {
-				T.Errorf("Element %d mismatch: expected %.6f, got %.6f", i, v, result[0][i])
+				T.Errorf("Element %d mismatch for %s: expected %.6f, got %.6f", i, model, v, result[0][i])
 			}
 		}
 	}