alexklibisz/elastiknn
Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.
Supports both dense floating-point and sparse boolean vectors, enabling diverse similarity search use cases from image retrieval to text understanding. Implements multiple approximate nearest neighbor algorithms (LSH, HNSW, etc.) alongside exact search, trading accuracy for query latency based on application requirements. Provides a native Elasticsearch mapping type and query DSL integration, plus a dedicated Python HTTP client for seamless embedding pipeline integration.
391 stars.
Stars
391
Forks
50
Language
Scala
License
Apache-2.0
Category
Last pushed
Feb 06, 2026
Commits (30d)
0
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