moved

internal/cosine/simd/simd.go

@@ -23,7 +23,7 @@ var pool = sync.Pool{
 	},
 }
 
-// Matmul multiplies matrix M by N and writes the result into dst
+// Cosine calculates the cosine similarity between two vectors
 func Cosine(a, b []float32) float64 {
 	if len(a) != len(b) {
 		panic("vectors must be of same length")
@@ -37,7 +37,7 @@ func Cosine(a, b []float32) float64 {
 		pool.Put(out)
 		return result
 	default:
-		return float64(cosine(a, b))
+		return cosine(a, b)
 	}
 }
 

eval/main.go → internal/eval/main.go

@@ -15,7 +15,7 @@ import (
 )
 
 func loadModel() *search.Vectorizer {
-	model := "../dist/MiniLM-L6-v2.Q8_0.gguf"
+	model := "../../dist/MiniLM-L6-v2.Q8_0.gguf"
 	fmt.Printf("Loading model: %s\n", model)
 
 	mod, _ := filepath.Abs(model)
@@ -83,7 +83,7 @@ type entry struct {
 
 // loadSICK parses the SICK CSV dataset and returns sentence pairs with their relatedness scores
 func loadSICK() ([]entry, error) {
-	file, err := os.Open("../dist/dataset.txt")
+	file, err := os.Open("../../dist/dataset.txt")
 	if err != nil {
 		return nil, err
 	}