AlloyDB AI integrates generative AI into AlloyDB for PostgreSQL and AlloyDB Omni, offering AI-powered search with vector, hybrid search, and AI functions. It also provides natural language capabilities, conversational analytics, and inference features like forecasting and model endpoint management to build AI apps faster. Build enterprise-ready AI applications faster and with less complexity by bringing AI to your operational data.
AI-powered search
Perform AI-powered search in SQL, including high-performance vector search with fully compatible with PostgreSQL's pgvector extension, hybrid search combining keywords and vector similarity, and AlloyDB AI functions for embedding, ranking, and multimodal content generation.
Natural language and agents
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).
Inference
Perform time-series forecasting, bring your own machine learning models (BYOML) to run within AlloyDB, and manage connections to external model endpoints for diverse inference needs, such as predictions, content generation, and summarization.
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.
Blogs and codelabs
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.
Blogs and articles |
Codelabs and tutorials |
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.
Guides |
Resources and reference |