Welcome to pgEdge Documentation
Enterprise-grade PostgreSQL for distributed data and agentic AI.
pgEdge delivers hardened, production-grade PostgreSQL with a complete AI toolkit and a seamless path from a single database through highly available, globally distributed deployments — self-hosted, in your cloud, or fully managed.
Getting Started - Choose your Deployment
Key Components
AI DBA Workbench NEW
PostgreSQL estate monitoring and troubleshooting with optional AI assistance.
View Documentation →pgEdge Postgres MCP Server
Give AI agents secure, structured access to PostgreSQL.
View Documentation →All Documentation
Deployment
- Control Plane Declarative API for deploying and managing PostgreSQL clusters on VMs and bare metal
- Enterprise Repository Hardened, tested PostgreSQL packages for enterprise Linux and Debian/Ubuntu
- Ansible Automated cluster deployment and configuration management with Ansible playbooks
- Containers Deploy pgEdge Enterprise Postgres on Kubernetes with Helm and CloudNativePG
- pgEdge Cloud Fully managed, globally distributed PostgreSQL as a service
AI Toolkit
- Overview Architecture guide covering agent access and RAG pipelines
- pgEdge Components
- AI DBA Workbench NEW PostgreSQL estate monitoring and troubleshooting with optional AI assistance
- MCP Server Connect LLMs and AI agents directly to PostgreSQL via the Model Context Protocol
- RAG Server High-performance retrieval-augmented generation API with hybrid vector and keyword search
- Docloader CLI tool for loading and chunking documents into PostgreSQL for AI applications
- Vectorizer Automatic document chunking and vector embedding generation inside PostgreSQL
- Community Components
- pg_tokenizer Tokenization and text processing for search and AI workloads
- pg_vectorize RAG-focused automated vector search pipelines for PostgreSQL
- pgVector Open-source vector similarity search for PostgreSQL
- vchord_bm25 BM25 full-text ranking algorithm for PostgreSQL