AlloyDB AI provides a suite of integrated generative AI capabilities in AlloyDB for PostgreSQL and AlloyDB Omni databases. This includes high-performance vector search, an AI query engine, and natural language to SQL generation. Build enterprise-ready AI applications faster and with less complexity by bringing AI to your operational data.
Vector search
Store, index, and query vector embeddings at scale using standard SQL operators. Find exact and approximate nearest neighbors with low latency. Fully compatible with PostgreSQL's pgvector extension.
AlloyDB AI query engine
Use AlloyDB AI operators (Preview) in standard SQL queries to filter, rank, or generate multimodal content. Connect AlloyDB AI to Vertex AI foundation models and custom model endpoints using standard SQL functions. Generate embeddings or invoke predictions directly from your query without data movement.
AlloyDB AI natural language
Use everyday natural language prompts to generate executable SQL queries against your database schema. Empower analysts and developers to query data faster using AlloyDB AI natural language (Preview).
Customer stories
Learn how customers use AlloyDB AI to build generative AI applications.
Inside Target's search bar overhaul
From query to cart: Inside Target's search bar overhaul with AlloyDB AI.
Nuro drives autonomous innovation with AlloyDB AI
Learn how AlloyDB AI enables Nuro to perform complex similarity searches on vector embeddings, supporting continuous improvement.
Enhancing iEEG seizure identification and similarity search with Google Cloud
Learn how NeuroPace searched for more than a million iEEG records to identify similar records, in milliseconds using AlloyDB AI.
Developer tools and integrations
Explore tools and integrations for building with AlloyDB AI.
AlloyDB Observability with Gemini CLI
Explore extensions for monitoring and observability in AlloyDB using Gemini CLI.
Latest videos
Watch the latest videos about AlloyDB AI.
Explore how AlloyDB AI is used in real-world scenarios like Target's search overhaul, dive deep into vector search enhancements and new innovations. Learn about hybrid search, multimodal capabilities, AI operators, and embeddings through videos and codelabs.
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Documentation and resources
Explore guides, conceptual explanations, and references to dive deep into using AlloyDB AI to build AI/ML applications. These resources cover the complete workflow guides such as creating high-performance ScaNN indexes and performing searches to ranking results, backed by technical references such as model endpoint management and monitoring vector index metrics.
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