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Building a Vector Search Engine from Scratch in Python

  • author: "Vikas Dhyani"
  • date: "2026-04-11"
  • read_time: "~1 min"

Understanding vector retrieval doesn't require external SaaS databases. By writing a semantic similarity script from scratch using NumPy, developers learn how high-dimensional distances compute similarity matches.


# Cosine similarity matching in numpy
def cosine_similarity(v1, v2):
    return np.dot(v1, v2) / (np.linalg.norm(v1) * np.linalg.norm(v2))
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