Vector search is vital to generative AI applications because it can improve large language model (LLM) prompts, reducing hallucinations
KNN spanner precision Vector search is good for partitionable tasks like browsing personal images because each query contains few things
Spanner can now handle your vector search needs in a highly scalable and effective manner with to the addition of Approximate Nearest Neighbor Search capabilities
Spanner uses ScaNN, Google Research's vector similarity search algorithm, for Google and Google Cloud apps
The tree may have two or three layers depending on dataset size. Three-level tree hierarchical split of 10B+ vector datasets adds branch nodes
Distance functions make vector embeddings comparable. For KNN search, Spanner gives precise distance functions
Adding attributes to the WHERE clause filters Approximate Nearest Neighbour Search results
Vector search for funds with “emerging markets” in their names and query strategies like “balanced low risk socially responsible fund