# What a similarity score looks like (all-MiniLM-L6-v2, cosine)

Plain cosine similarity (NOT the Spring AI score, see the end) of each later phrasing with the cached phrasing of the SAME question (90 pairs):
  min 0.337   p10 0.537   median 0.729   p90 0.869   max 0.916
  lowest: 0.337   Where is my package right now?  ->  How can I track my order?

Best score each of those phrasings gets against a cached question of a DIFFERENT intent (look-alikes like reset password / reset router):
  min 0.209   p10 0.311   median 0.446   p90 0.563   max 0.633
  highest: 0.633   Can you help me reset the password for my login?  ->  How do I reset two-factor authentication on my account?

Best score of 20 off-topic questions against any cached question:
  min 0.096   p10 0.133   median 0.180   p90 0.225   max 0.289

Does Redis report the same number? "I forgot my password, how can I get back into my account?"
  cosine computed in Java        : 0.838726
  Document.getScore() from Redis : 0.919363   (matched stored question: "How do I reset my account password?")
  (1 + cosine) / 2               : 0.919363   <- the score is this, not the cosine
  same question as the cached one -> score 1.000000

The closest pairs of DIFFERENT cached questions (Spring AI score; 435 pairs in all). Above the threshold, one answers for the other:
  0.852  "How do I reset my account password?"  /  "How do I reset two-factor authentication on my account?"
  0.824  "How do I cancel an order I just placed?"  /  "How do I cancel a return I already requested?"
  0.796  "How do I cancel an order I just placed?"  /  "How do I cancel my monthly subscription?"
  0.791  "How can I track my order?"  /  "How can I track the return I sent back?"
  0.789  "How can I track my order?"  /  "Can I pick up my order at a store?"
  0.779  "How long is the warranty on your laptops?"  /  "How do I make a warranty claim?"
  0.775  "How long does a refund take to arrive?"  /  "How can I track the return I sent back?"
  0.767  "How do I update the firmware on my headphones?"  /  "How do I pair my headphones over Bluetooth?"

Spring AI's similarityThreshold is applied to that score. Threshold -> the cosine it really means (cosine = 2 x score - 1):
  similarityThreshold 0.70  =  cosine 0.40
  similarityThreshold 0.80  =  cosine 0.60
  similarityThreshold 0.85  =  cosine 0.70
  similarityThreshold 0.90  =  cosine 0.80
  similarityThreshold 0.95  =  cosine 0.90