Hacker News
- ANN Benchmarks: approximate nearest neighbor libraries in Python https://github.com/erikbern/ann-benchmarks 2 comments
Linking pages
- 16 New ML Gems for Ruby https://ankane.org/new-ml-gems 67 comments
- GitHub - wizenheimer/tinkerbird: Chrome Native Vector Database https://github.com/wizenheimer/tinkerbird 34 comments
- Announcing ScaNN: Efficient Vector Similarity Search – Google AI Blog https://ai.googleblog.com/2020/07/announcing-scann-efficient-vector.html 33 comments
- Machine Learning for a Better Developer Experience | by Netflix Technology Blog | Netflix TechBlog https://netflixtechblog.com/machine-learning-for-a-better-developer-experience-1e600c69f36c 20 comments
- GitHub - qdrant/awesome-metric-learning: 😎 A curated list of awesome practical Metric Learning and its applications https://github.com/qdrant/awesome-metric-learning 20 comments
- pgvector 0.4.0 performance https://supabase.com/blog/pgvector-performance 8 comments
- MariaDB Introduces Open-Source Vector Preview, Aiming to Become Default MySQL Option - InfoQ https://www.infoq.com/news/2024/08/mariadb-vector-search/ 6 comments
- GitHub - jbellis/jvector: JVector: the most advanced embedded vector search engine https://github.com/jbellis/jvector 2 comments
- GitHub - alexklibisz/elastik-nearest-neighbors: Go to: https://github.com/alexklibisz/elastiknn https://github.com/alexklibisz/elastik-nearest-neighbors/ 1 comment
- Pareto efficency · Erik Bernhardsson https://erikbern.com/2016/10/25/pareto-efficiency.html 1 comment
- Home - Elastiknn https://elastiknn.com/ 1 comment
- How I built a (patent) text concept search & analytics app | by JP Hwang | Medium https://medium.com/@hindsights/how-i-built-a-patent-text-concept-search-analytics-app-af67085b0ac0 1 comment
- GitHub - jobergum/dense-vector-ranking-performance: Performance evaluation of nearest neighbor search using Vespa, Elasticsearch and Open Distro for Elasticsearch K-NN https://github.com/jobergum/dense-vector-ranking-performance 1 comment
- GitHub - yahoojapan/NGT: Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data https://github.com/yahoojapan/NGT 1 comment
- Qdrant under the hood: Scalar Quantization - Qdrant https://qdrant.tech/articles/scalar-quantization/ 1 comment
- pgvector vs Pinecone: cost and performance https://supabase.com/blog/pgvector-vs-pinecone 1 comment
- GitHub - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python 0 comments
- New benchmarks for approximate nearest neighbors · Erik Bernhardsson https://erikbern.com/2018/02/15/new-benchmarks-for-approximate-nearest-neighbors.html 0 comments
- GitHub - twistedcubic/learn-to-hash: Neural LSH [ICLR 2020] - Using supervised learning to produce better space partitions for fast nearest neighbor search. https://github.com/twistedcubic/learn-to-hash 0 comments
- ElastiK Nearest Neighbors. Combining Locality-Sensitive Hashing… | by Alex Klibisz | Insight https://blog.insightdatascience.com/elastik-nearest-neighbors-4b1f6821bd62 0 comments
Linked pages
- GitHub - milvus-io/milvus: Vector database for scalable similarity search and AI applications. https://github.com/milvus-io/milvus 145 comments
- GitHub - facebookresearch/faiss: A library for efficient similarity search and clustering of dense vectors. https://github.com/facebookresearch/faiss 100 comments
- GitHub - microsoft/SPTAG: A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario. https://github.com/microsoft/SPTAG 43 comments
- GitHub - qdrant/qdrant: Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/ https://github.com/qdrant/qdrant 42 comments
- GitHub - vdaas/vald: Vald. A Highly Scalable Distributed Vector Search Engine https://github.com/vdaas/vald 35 comments
- https://github.com/google-research/google-research/tree/master/scann 25 comments
- GitHub - zalandoresearch/fashion-mnist: A MNIST-like fashion product database. Benchmark https://github.com/zalandoresearch/fashion-mnist 21 comments
- GloVe: Global Vectors for Word Representation http://nlp.stanford.edu/projects/glove/ 7 comments
- UCI Machine Learning Repository: Bag of Words Data Set https://archive.ics.uci.edu/ml/datasets/Bag+of+Words 3 comments
- GitHub - yahoojapan/NGT: Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data https://github.com/yahoojapan/NGT 1 comment
- GitHub - vespa-engine/vespa: The open big data serving engine. https://vespa.ai https://github.com/vespa-engine/vespa 0 comments
- MNIST handwritten digit database, Yann LeCun, Corinna Cortes and Chris Burges http://yann.lecun.com/exdb/mnist/ 0 comments
- ANN-Benchmarks http://ann-benchmarks.com/ 0 comments
- Evaluation of Approximate nearest neighbors: large datasets http://corpus-texmex.irisa.fr/ 0 comments
- GitHub - spotify/annoy: Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk https://github.com/spotify/annoy 0 comments
- GitHub - ekzhu/datasketch: MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble https://github.com/ekzhu/datasketch 0 comments
- GitHub - microsoft/DiskANN: Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search https://github.com/microsoft/DiskANN 0 comments
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