# lior-k/fast-elasticsearch-vector-scoring

<https://repo.masters-masters.com/en/repos/lior-k/fast-elasticsearch-vector-scoring>

[Home](https://repo.masters-masters.com/en) › [lior-k](https://repo.masters-masters.com/en/owners/lior-k) › [fast-elasticsearch-vector-scoring](https://repo.masters-masters.com/en/repos/lior-k/fast-elasticsearch-vector-scoring)

lior-k/fast-elasticsearch-vector-scoring has 405 stars on GitHub. Its RepoMasters card: Alpha tier. Score documents using embedding-vectors dot-product or…

| Field | Value |
| --- | --- |
| Owner | [lior-k](https://repo.masters-masters.com/en/owners/lior-k) |
| Stars | 405 |
| Forks | 107 |
| Language | [Java](https://repo.masters-masters.com/en/languages/java) |
| License | Apache-2.0 |
| Created | 2017 |
| Topics | elasticsearch, vector, cosine-similarity, dot-product, lucene, embedding-vectors |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [lior-k/fast-elasticsearch-vector-scoring](https://github.com/lior-k/fast-elasticsearch-vector-scoring) |

## Repository

Score documents using embedding-vectors dot-product or cosine-similarity with ES Lucene engine

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.