Delete app/similarity.py

app/similarity.py

@@ -1,22 +0,0 @@
-import numpy as np
-
-
-def cosine_similarity(
-    query_vector: np.ndarray,
-    corpus_vectors: np.ndarray
-) -> np.ndarray:
-    """
-    Calculate cosine similarity between a query vector and a corpus of vectors.
-
-    Args:
-        query_vector: Vectorized prompt query of shape (D,).
-        corpus_vectors: Vectorized prompt corpus of shape (N, D).
-
-    Returns:
-        np.ndarray: The vector of shape (N,) with values in range [-1, 1] where 1
-        is max similarity i.e., two vectors are the same.
-    """
-    dot_product = np.dot(corpus_vectors, query_vector)
-    norm_query = np.linalg.norm(query_vector)
-    norm_corpus = np.linalg.norm(corpus_vectors, axis=1)
-    return dot_product / (norm_query * norm_corpus)