Elasticsearch plugin for similarity search on dense floating point and sparse boolean vectors.
Comprehensive documentation is hosted at elastiknn.com
- For questions, ideas, feature requests, and other discussion, start a Github discussion.
- For obvious bugs, post a Github issue.
To contribute to Elastiknn, please see developer-guide.md.
Are you using Elastiknn? If so, please consider submitting a pull request to list your organization below.
- Apache Jackrabbit: Uses Elastiknn for image similarity search
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- Orlo: Uses Elastiknn for indexing deep text understanding in text to provide interesting insights
| Build | Status |
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| Github CI Builds |  |
| Github Release Build |  |
| Artifact | Release | Snapshot | Downloads |
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| Elasticsearch plugin zip file |  |
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| Python HTTP client for Elastiknn |  |
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| Java library w/ exact and approximate vector similarity models |  |
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| Java library w/ Lucene queries and constructs used in Elastiknn |  |
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| Java client w/ Elasticsearch query builder |  |
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| Scala case classes and circe codecs for the Elastiknn JSON API |  |
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| Scala HTTP client for Elastiknn, based on elastic4s |  |
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