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Documentation Index

Fetch the complete documentation index at: https://docs.aurelio.ai/llms.txt

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similarity_matrix

def similarity_matrix(xq: np.ndarray, index: np.ndarray) -> np.ndarray
Compute the similarity scores between a query vector and a set of vectors. Arguments:
  • xq: A query vector (1d ndarray)
  • index: A set of vectors.
Returns: np.ndarray: The similarity between the query vector and the set of vectors.

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top_scores

def top_scores(sim: np.ndarray,
               top_k: int = 5) -> Tuple[np.ndarray, np.ndarray]
Get the top scores and indices from a similarity matrix. Arguments:
  • sim: A similarity matrix.
  • top_k: The number of top scores to get.
Returns: Tuple[np.ndarray, np.ndarray]: The top scores and indices.