Vector-similarity search (VSS) algorithms in Neptune Analytics

Vector simlarity search algorithms identify similar vectors based on the vector distance between them.

Neptune Analytics supports the following vector-similarity search algorithms:

Note

The following special floating-point values are not supported in Neptune Analytics vector-similarity search algorithms:

• INF  (infinity)

• -INF  (negative infinity)

• NaN  (not-a-number)

Contents

• The  .vectors.distance  algorithm
  • .vectors.distance  syntax
  • .vectors.distance  inputs
  • .vectors.distance  outputs
  • .vectors.distance  query example
  • Sample  .vectors.distance  output
• The  .vectors.get  algorithm
  • .vectors.get  syntax
  • .vectors.get  input
  • .vectors.get  outputs
  • .vectors.get  query example
  • Sample  .vectors.get  output
• .vectors.topKByEmbedding algorithm
  • .vectors.topKByEmbedding  syntax
  • .vectors.topKByEmbedding  input
  • .vectors.topKByEmbedding  outputs
  • .vectors.topKByEmbedding  query example
  • Sample  .vectors.topKByEmbedding  output
• .vectors.topKByNode algorithm
  • .vectors.topKByNode  syntax
  • .vectors.topKByNode  input
  • .vectors.topKByNode  outputs
  • .vectors.topKByNode  query example
  • Sample  .vectors.topKByNode  output
• .vectors.upsert algorithm
  • .vectors.upsert  syntax
  • .vectors.upsert  input
  • .vectors.upsert  outputs
  • .vectors.upsert  query examples
  • Sample  .vectors.upsert  output
• .vectors.remove algorithm
  • .vectors.remove  syntax
  • .vectors.remove  input
  • .vectors.remove  outputs
  • .vectors.remove  query examples
  • Sample  .vectors.remove  output