AlloyDB AI extends the open-source pgvector extension,
providing compatibility with standard index types such as HNSW alongside
Google's Scalable Nearest Neighbors (ScaNN) vector search index. Storing and
indexing vector embeddings directly in AlloyDB for PostgreSQL lets you build
generative AI, semantic search, and recommendation applications without moving
your operational 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.
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.
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.
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
Up to 10x faster ScaNN index creation and filtered vector search than HNSW.
Uses 3x less memory than HNSW.
Up to 4x faster vector search queries than HNSW.
Up to 10x faster filtered vector search than HNSW.
Learn more
Explore our developer resources to build AI applications with AlloyDB's vector search capabilities.
AlloyDB AI: Hybrid search and multimodal capabilities
Enhance retail product discovery with AlloyDB's semantic, hybrid, and multimodal search.
ScaNN for AlloyDB whitepaper
A technical whitepaper on the architecture, algorithms, and performance of the ScaNN index in AlloyDB.
Build and deploy a dynamic hybrid retail search with AlloyDB, Gemini and Cloud Run
Learn how to perform hybrid search on Cloud Run, combining SQL, full-text, and vector search.