SOAR provides ScaNN with a robust "backup" route for identifying nearest neighbors when ScaNN's traditional clustering-based approach faces challenges. This enhancement allows ScaNN to achieve even faster vector search performance while maintaining a low index size and minimal indexing time. As a result, it strikes an optimal balance among various vector search algorithms.
The community to leverage ScaNN for addressing their vector search needs. ScaNN is open-sourced on GitHub and can be easily installed via Pip. Additionally, ScaNN vector search technology is integrated into Google Cloud products:
Vertex AI Vector Search utilizes ScaNN to provide a fully managed, high-scale, and low-latency vector similarity matching service.
AlloyDB recently introduced ScaNN for its index, enhancing the capabilities of this vector database built on top of the popular PostgreSQL-compatible database.
SOAR provides ScaNN with a robust "backup" route for identifying nearest neighbors when ScaNN's traditional clustering-based approach faces challenges. This enhancement allows ScaNN to achieve even faster vector search performance while maintaining a low index size and minimal indexing time. As a result, it strikes an optimal balance among various vector search algorithms.
The community to leverage ScaNN for addressing their vector search needs. ScaNN is open-sourced on GitHub and can be easily installed via Pip. Additionally, ScaNN vector search technology is integrated into Google Cloud products:
GitHub: https://github.com/google-research/google-research/tree/master/scann Blog: https://research.google/blog/soar-new-algorithms-for-even-faster-vector-search-with-scann/