alexklibisz/elastiknn
Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.
This helps engineers and developers integrate similarity search into Elasticsearch. It takes vectors (dense floating-point or sparse boolean) and lets you query for the most similar items stored within Elasticsearch. This is for technical users building applications that need to find similar images, text, or other vectorized data.
391 stars.
Use this if you need to perform fast nearest neighbor searches on vector data within your existing Elasticsearch infrastructure.
Not ideal if you are looking for a standalone similarity search solution and don't already use Elasticsearch.
Stars
391
Forks
50
Language
Scala
License
Apache-2.0
Category
Last pushed
Feb 06, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/alexklibisz/elastiknn"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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