AI Term

LSH (Locality-Sensitive Hashing)

1 min read

What it is: A "fingerprinting" system that gives similar vectors similar hash codes, allowing quick similarity detection.

How it works:

  • Uses special hash functions that preserve similarity relationships
  • Similar vectors get placed in the same "buckets"
  • Search only looks in buckets likely to contain similar items

Why it matters: Excellent for approximate search when you need speed over perfect accuracy. Great for large-scale systems.

Real-world analogy: Like sorting people by zip code - people in the same zip code are likely to be neighbors, so you only check nearby zip codes when looking for someone.

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