AlloyDB AI enhances the open-source pgvector
extension, providing full compatibility with its standard index types such as HNSW while supercharging performance with Google's cutting-edge ScaNN vector search technology. This unique integration lets you build scalable, production-ready generative AI, semantic search, and recommendation engines without moving your data or managing a separate vector database.

Build faster, smarter AI applications
AlloyDB AI eliminates the complexity of managing a separate vector database. Keep operational data and embeddings in one place, and use built-in functions to generate batch embeddings (Preview) for large tables, scaling your AI pipeline from a single, secure source.
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Retrieval-augmented generation (RAG)
Enhance LLM responses by using vector search to find and retrieve the most relevant, up-to-date context from your private data in AlloyDB, directly feeding it into the prompt to reduce hallucinations.
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Semantic search
Enable concept-based search by converting your data into vector embeddings. AlloyDB AI's fast vector queries then find items based on their semantic meaning, not just keyword matches.
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Recommendation engines
Power real-time personalization by using ultra-fast vector search to identify similar items or users (nearest neighbors) directly within your database, enabling dynamic and relevant recommendations.
ScaNN vector search performance
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bolt
Up to 10x faster ScaNN index creation than HNSW.
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filter_alt
Up to 10x faster filtered vector search than HNSW.
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memory
Uses 3x less memory than HNSW.
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rocket_launch
Up to 4x faster vector search queries than HNSW.
Learn more and get started
Explore our developer resources to build AI applications with AlloyDB's vector search capabilities.
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AlloyDB AI: Hybrid search & multimodal capabilities
Enhance retail product discovery with AlloyDB's semantic, hybrid, and multimodal search.
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ScaNN for AlloyDB Whitepaper
A technical whitepaper on the architecture, algorithms, and performance of the ScaNN index in AlloyDB.
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codelab
Learn how to perform hybrid search on Cloud Run, combining SQL, full-text, and vector search.