Joeven — Learn Autonomous AI Agents

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def dot(u, v):
    return sum(a * b for a, b in zip(u, v))

def mag(v):
    return sum(x * x for x in v) ** 0.5

def cosine(u, v):
    return dot(u, v) / (mag(u) * mag(v))

def topk(query, store, k=2):
    scored = [(cosine(query, vec), text, label) for text, label, vec in store]
    scored.sort(reverse=True)
    return scored[:k]

store2d = [
    ("refunds 5-7 days", "billing", [0.9, 0.1]),
    ("invoice PDF in /billing", "billing", [0.8, 0.2]),
    ("reset password via email", "auth", [0.1, 0.9]),
    ("SSO is SAML", "auth", [0.2, 0.8]),
    ("runner OOM last night", "infra", [-0.7, 0.2]),
    ("scale the worker pool", "infra", [-0.6, 0.1]),
]

q_bill = [0.85, 0.15]
print("2d billing query:")
for row in topk(q_bill, store2d, 2):
    print(" ", round(row[0], 3), row[1], row[2])

store3d = [
    ("refunds 5-7 days", "billing", [0.9, 0.1, 0.0]),
    ("invoice PDF in /billing", "billing", [0.8, 0.2, 0.05]),
    ("reset password via email", "auth", [0.1, 0.9, 0.0]),
    ("SSO is SAML", "auth", [0.2, 0.8, 0.1]),
    ("runner OOM last night", "infra", [0.1, 0.1, 0.95]),
    ("scale the worker pool", "infra", [0.0, 0.2, 0.9]),
]
q_infra = [0.05, 0.05, 0.9]
print("3d infra query:")
for row in topk(q_infra, store3d, 2):
    print(" ", round(row[0], 3), row[1], row[2])

q_far = [0.4, 0.4, 0.4]
print("3d vague query (still top-2):")
for row in topk(q_far, store3d, 2):
    print(" ", round(row[0], 3), row[1], row[2])

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