AI Accelerator - PGvector
What is PGvector
PGvector is an extension for Postgres that enables efficient storage and similarity search of high-dimensional vector data, commonly used for machine learning models, recommendation systems, and natural language processing applications.
Part of the EDB Postgres AI platform
EDB Postgres AI with PGvector delivers a flexible solution for enterprise AI, integrating seamlessly with existing Postgres environments. It outperforms standalone vector databases with 4.22X faster queries and eliminates data silos via integrations with 18X cost-efficient object storage. This unified platform accelerates AI deployment, simplifies management, and ensures up to 99.999% availability, enabling businesses to innovate rapidly and future-proof their data infrastructure without disrupting current operations.
Native Vector Data Type Support
PGvector on EDB Postgres AI enables storage of AI/ML model embeddings as first-class data types, allowing efficient indexing and querying of large volumes of AI data stored in object storage, seamlessly integrated with traditional relational data.
Advanced 4.22X Vector Query
Extends standard SQL with vector-specific operators and functions, enabling complex queries that combine vector operations, relational data, and full SQL capabilities, going far beyond simple similarity searches to support sophisticated AI-driven applications.
High-performance Indexing
With real-time indexing, storage, and querying of AI data, PGvector enables efficient vector similarity search on embeddings from various LLMs, while leveraging Postgres transactionality for consistent handling of mixed workloads.
Integrated Vector Data Platform
PGvector unifies vector database capabilities with EDB Postgres AI's mature enterprise features, ensuring high availability, robust backup/recovery, strong security, and ACID data integrity, all within a single vendor solution for comprehensive data management and AI workloads.
Installation
The extension is included with AI Accelerator's Pipelines and installed automatically when Pipelines is installed.
Further information
For more information on the PGvector extension, see the PGvector repository.
Could this page be better? Report a problem or suggest an addition!