A managed service provided by Google Cloud that enables high-performance vector similarity search
- designed to efficiently find similar items within large datasets, making it particularly useful for applications such as recommendation systems, image search, and other tasks where finding similar data points quickly is crucial
- optimized for low-latency and high-throughput searches, making it suitable for real-time applications
- can handle large-scale datasets, supporting billions of vectors
- Approximate Nearest Neighbor (ANN) Search:
- Uses advanced algorithms to perform approximate nearest neighbor searches, providing fast and accurate similarity search results.