COSINE distance compares vectors based on the angle between them, which
allows you to measure similarity that isn't based on the vectors
magnitude. We recommend using DOT_PRODUCT with unit normalized vectors
instead of COSINE distance, which is mathematically equivalent with
better performance. See Cosine
Similarity to learn
more about COSINE similarity and COSINE distance. The resulting
COSINE distance decreases the more similar two vectors are.
DotProduct
Similar to cosine but is affected by the magnitude of the vectors. See
Dot Product to learn more.
The resulting distance increases the more similar two vectors are.
Euclidean
Measures the EUCLIDEAN distance between the vectors. See
Euclidean to learn
more. The resulting distance decreases the more similar two vectors
are.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-07 UTC."],[[["\u003cp\u003eThis document provides reference documentation for the \u003ccode\u003eDistanceMeasure\u003c/code\u003e enum within the Firestore v1 API, specifically within the \u003ccode\u003eStructuredQuery.Types.FindNearest.Types\u003c/code\u003e namespace.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eDistanceMeasure\u003c/code\u003e enum offers four options for comparing vectors: \u003ccode\u003eCosine\u003c/code\u003e, \u003ccode\u003eDotProduct\u003c/code\u003e, \u003ccode\u003eEuclidean\u003c/code\u003e, and \u003ccode\u003eUnspecified\u003c/code\u003e, with each having a specific use case and mathematical property.\u003c/p\u003e\n"],["\u003cp\u003eThe provided documentation outlines the characteristics of each \u003ccode\u003eDistanceMeasure\u003c/code\u003e field, such as how \u003ccode\u003eCosine\u003c/code\u003e measures similarity based on the angle between vectors and \u003ccode\u003eDotProduct\u003c/code\u003e being similar but affected by magnitude.\u003c/p\u003e\n"],["\u003cp\u003eThere are multiple versions available for the \u003ccode\u003eDistanceMeasure\u003c/code\u003e enum, with version 3.10.0 being the latest and version 2.3.0 being the oldest from this list, demonstrating the history of this part of the API.\u003c/p\u003e\n"]]],[],null,[]]
