#vector-search
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Building AI-Native Search with Spanner
Google Cloud Spanner now integrates full-text, vector, and hybrid search directly into the database, eliminating the need for separate search engines, ETL pipelines, and data synchronization issues.
Google Cloud TechBuilding AI-Powered Search with Google Cloud Spanner
Google Cloud Spanner enables hybrid search by combining full-text, vector, and graph capabilities within a single, transactionally consistent database, eliminating the need for complex ETL pipelines and external search indexes.
Accelerating Hybrid Search in PostgreSQL with AlloyDB AI
AlloyDB AI integrates vector search, full-text indexing, and Gemini-powered summarization directly into PostgreSQL, enabling sub-second hybrid search across massive datasets without external pipelines.
Google Cloud TechTurbovec: High-Performance Vector Search via TurboQuant
Turbovec is a Rust-based vector index that uses Google's TurboQuant algorithm to achieve 16x compression and faster search speeds than FAISS on ARM hardware, without requiring data-dependent training.
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