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Title: GitHub - px341/jvector: JVector: the most advanced embedded vector search engine · GitHub

Open Graph Title: GitHub - px341/jvector: JVector: the most advanced embedded vector search engine

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Description: JVector: the most advanced embedded vector search engine - px341/jvector

Open Graph Description: JVector: the most advanced embedded vector search engine - px341/jvector

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READMEhttps://github.com/px341/jvector
Licensehttps://github.com/px341/jvector
https://github.com/px341/jvector#introduction-to-approximate-nearest-neighbor-search
the curse of dimensionalityhttps://en.wikipedia.org/wiki/Curse_of_dimensionality
LSH or IVFhttps://www.datastax.com/guides/what-is-a-vector-index
SCANNhttps://github.com/google-research/google-research/tree/master/scann
HNSWhttps://arxiv.org/abs/1603.09320
DiskANNhttps://www.microsoft.com/en-us/research/project/project-akupara-approximate-nearest-neighbor-search-for-large-scale-semantic-search/
https://github.com/px341/jvector#jvector-architecture
https://private-user-images.githubusercontent.com/42158/268143423-f0127bfc-6c45-48b9-96ea-95b2120da0d9.png?jwt=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3ODQ0NDc4MDEsIm5iZiI6MTc4NDQ0NzUwMSwicGF0aCI6Ii80MjE1OC8yNjgxNDM0MjMtZjAxMjdiZmMtNmM0NS00OGI5LTk2ZWEtOTViMjEyMGRhMGQ5LnBuZz9YLUFtei1BbGdvcml0aG09QVdTNC1ITUFDLVNIQTI1NiZYLUFtei1DcmVkZW50aWFsPUFLSUFWQ09EWUxTQTUzUFFLNFpBJTJGMjAyNjA3MTklMkZ1cy1lYXN0LTElMkZzMyUyRmF3czRfcmVxdWVzdCZYLUFtei1EYXRlPTIwMjYwNzE5VDA3NTE0MVomWC1BbXotRXhwaXJlcz0zMDAmWC1BbXotU2lnbmF0dXJlPTg5MDVmNjM5ZTBjMzk4Y2QxNmQ5NjM3Y2Q3NGFmNWVjMzU4OTgyYjM2MzExYmQwZmMyNjhkZmM1M2MwYWIwODQmWC1BbXotU2lnbmVkSGVhZGVycz1ob3N0JnJlc3BvbnNlLWNvbnRlbnQtdHlwZT1pbWFnZSUyRnBuZyJ9.OdGkF35AdpbXhUR2dzTPZ-cyZplA6J7KxnHd4Pqy-sA
anisotropic weightinghttps://arxiv.org/abs/1908.10396
Binary quantizationhttps://huggingface.co/blog/embedding-quantization
This two-pass design reduces memory usage and reduces latency while preserving accuracyhttps://thenewstack.io/why-vector-size-matters/
https://private-user-images.githubusercontent.com/42158/327502965-34cb8094-68fa-4dc3-b3ce-4582fdbd77e1.png?jwt=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.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.zCOF1Ul2z8eMGAVPRDhoeF71tfFg48h0KENeTKNdXY8
https://github.com/px341/jvector#jvector-step-by-step
SiftSmallhttps://github.com/jbellis/jvector/blob/main/jvector-examples/src/main/java/io/github/jbellis/jvector/example/SiftSmall.java
https://github.com/px341/jvector#step-1-build-and-query-an-index-in-memory
RandomAccessVectorValueshttps://javadoc.io/doc/io.github.jbellis/jvector/latest/io/github/jbellis/jvector/graph/RandomAccessVectorValues.html
the DiskANN paperhttps://suhasjs.github.io/files/diskann_neurips19.pdf
https://github.com/px341/jvector#step-2-more-control-over-graphsearcher
ExplicitThreadLocalhttps://javadoc.io/doc/io.github.jbellis/jvector/latest/io/github/jbellis/jvector/util/ExplicitThreadLocal.html
https://github.com/px341/jvector#step-3-measuring-recall
https://github.com/px341/jvector#step-4-write-and-load-index-to-and-from-disk
DataStax Astrahttps://www.datastax.com/products/datastax-astra
we left it in the 22+ module for conveniencehttps://github.com/jbellis/jvector/pull/296
https://github.com/px341/jvector#step-5-use-compressed-vectors-in-the-search
BQ is generally less useful than PQ since it takes such a large toll on search accuracyhttps://thenewstack.io/why-vector-size-matters/
https://github.com/px341/jvector#step-6-building-a-larger-than-memory-index
https://github.com/px341/jvector#less-obvious-points
very few models generate embeddings that are best suited for BQhttps://thenewstack.io/why-vector-size-matters/
PhysicalCoreExecutorhttps://javadoc.io/doc/io.github.jbellis/jvector/latest/io/github/jbellis/jvector/util/PhysicalCoreExecutor.html
https://github.com/px341/jvector#advanced-features
See the Grid class for sample codehttps://github.com/jbellis/jvector/blob/main/jvector-examples/src/main/java/io/github/jbellis/jvector/example/Grid.java
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https://github.com/px341/jvector#the-research-behind-the-algorithms
HNSWhttps://ieeexplore.ieee.org/abstract/document/8594636
DiskANNhttps://suhasjs.github.io/files/diskann_neurips19.pdf
a higher level explainerhttps://www.datastax.com/guides/hierarchical-navigable-small-worlds
Anisotropic PQ paperhttps://arxiv.org/abs/1908.10396
Quicker ADC paperhttps://arxiv.org/abs/1812.09162
https://github.com/px341/jvector#developing-and-testing
multimodule Maven buildhttps://maven.apache.org/guides/mini/guide-multiple-modules.html
jvector-basehttps://github.com/px341/jvector/blob/main/jvector-base
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siftsmall directoryhttps://github.com/px341/jvector/blob/main/siftsmall
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