pgCortex is a declarative agent runtime that integrates enterprise-grade artificial intelligence capabilities directly into PostgreSQL databases. This innovative solution allows users to define intelligent agents using simple SQL commands, bind them to various database tables, and seamlessly facilitate automatic data enrichment without disrupting database transactions.

Key Features

• Zero Transaction Blocking: AI processes are executed outside the database, ensuring that transactions remain fast and efficient without interruption.
• Automatic Data Enrichment: Upon inserting or updating records, AI columns are populated automatically, enhancing data value.
• Enterprise Security: Designed with security in mind, pgCortex enforces least-privilege roles, maintains audit logs, and disallows direct table access to enhance data protection.
• Support for Any AI Provider: Seamlessly integrate with a range of AI providers including OpenAI, Anthropic, and OpenRouter, or any OpenAI-compatible endpoint.
• Schema Validation: Ensures that JSON Schema is enforced before any writeback operation, maintaining data integrity.
• Horizontal Scalability: Easily scale the processing of agents independently from the database operations, enabling high-performance applications.
• Full Observability: Robust metrics, audit trails, and cost tracking per agent allow comprehensive monitoring and management.
• Crash Recovery: Features such as idempotent processing and automatic retries safeguard against failures and ensure reliable operation.

Architectural Benefits

pgCortex maintains the inherent strengths of PostgreSQL, which include deterministic operations, short ACID transactions, predictable latency, and strong consistency while introducing a non-blocking AI execution model. This approach preserves the database's performance and stability, making pgCortex suitable for compliance-heavy environments, multi-tenant SaaS applications, and high-throughput data pipelines.

Use Cases

pgCortex is particularly effective for various applications such as:

• Ticket classification for support queries
• Fraud detection and risk analysis
• Invoice validation and extraction from documents
• Enrichment of CRM data
• Compliance tagging and sentiment analysis

Simplified Integration

Integrating pgCortex with existing PostgreSQL applications is straightforward. Users can leverage commands to register agents, bind them to database tables, and automate intelligent processes with minimal code, resulting in efficient, scalable, and maintainable solutions.

For detailed examples and further documentation, refer to the available resources within the repository.