Elasticsearch plugin for vector similarity search. Follow for notifications on releases.
Joined August 2020
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Elastiknn retweeted
Some fun recent progress on my off-and-on hobby project @elastiknn:
- Caught up to the latest versions of Elasticsearch w/ help from @fabriziofortino
New release! Elastiknn (finally) on Elasticsearch 8.0.0
github.com/alexklibisz/elast…
Elastiknn on #elasticsearch 8.0.0 almost ready to go! PR: github.com/alexklibisz/elast…, Snapshot release: github.com/alexklibisz/elast…
Four new Elastiknn releases today:
1. 7.15.2.1: Removes direct #log4j dependency
2. 7.16.0.0: Release for Elasticsearch 7.16.0
3. 7.16.1.0: Release for ES 7.16.1
4. 7.16.2.0: Release for ES 7.16.2
github.com/alexklibisz/elast…
New Elastiknn release github.com/alexklibisz/elast…
This release replaces some dependencies in order to reduce the plugin size from > 20MB to < 10MB.
New Post: Tour de Elastiknn
Including:
- Elastiknn’s features at a high level
- Software engineering details
- LSH in enough detail to understand its use in Elastiknn
- Specific implementation of LSH in Elastiknn
- Some interesting open questions
elastiknn.com/posts/tour-de-…
Release 7.13.3.1 includes a name change: switching the term "angular" to "cosine". This follows the formulation of cosine similarity from Wikipedia. Underlying implementation was and remains cosine similarity. github.com/alexklibisz/elast…
Elastiknn retweeted
#NeurIPS 2021 Billion-Scale ANN Challenge medium.com/big-ann-benchmark…
Basically ann-benchmarks (github.com/erikbern/ann-benc…) on billion-scale datasets. Also a custom hardware track. Great to see a push toward larger-scale benchmarking!
Thanks to @dmitrykan for telling me about it.
Elastiknn release for #Elasticsearch version 7.13.1: github.com/alexklibisz/elast…
Elastiknn retweeted
Published my recent blog about vector search in #Elasticsearch in TDS (big thanks to the editors for accepting it): towardsdatascience.com/speed… #knn #opendistro #elastiknn #gsi
Recently released benchmarks for Elastiknn on a multi-node #elasticsearch cluster: elastiknn.com/performance/
More nodes/shards/threads definitely speed things up, but not as simple as N cores = Nx speedup.
Also some interesting related discussion here: discuss.elastic.co/t/one-es-…
Recording and slides from Elastic meetup presentation this week: elastiknn.com/posts/elastic-…
Thanks to @elastic for hosting!
Here's a tutorial showing how to use Elasticsearch and Elastiknn to combine keyword search and image search on Amazon products: elastiknn.com/tutorials/mult…
Just released Elastiknn 7.9.2: github.com/alexklibisz/elast…
Thanks to all who've submitted issues and feedback the past couple weeks. #elasticsearch #knn
