# pgEdge Documentation

pgEdge provides enterprise-ready PostgreSQL with multi-master replication
capabilities, enabling globally distributed, active-active database
deployments.

## About pgEdge

pgEdge delivers hardened, production-grade PostgreSQL with a seamless path
from single database deployments to globally distributed multi-master
clusters. Built on 100% standard, open-source PostgreSQL.

Key Capabilities:

- Multi-master (active-active) replication with write-anywhere capability
- Sub-50ms latency through geographic distribution
- Zero-downtime operations and instant failover
- Data sovereignty with granular replication control

## Deployment Options

Choose from cloud-managed, containerized, or self-hosted deployment models.

### pgEdge Cloud
Fully managed PostgreSQL service. Provision clusters across AWS, Azure, or
GCP.
- Documentation: https://docs.pgedge.com/cloud/

### pgEdge Container
Cloud-native deployments with Helm charts and CloudNativePG integration.
- Overview: https://docs.pgedge.com/pgedge-container/
- Kubernetes: https://docs.pgedge.com/kubernetes/
- Helm Chart: https://docs.pgedge.com/pgedge-helm/
- Container Images: https://docs.pgedge.com/container-images/

### VMs & Bare Metal
Direct installations on virtual machines or physical servers.
- Package Repository (RPM/APT): https://docs.pgedge.com/enterprise/
- Distributed CLI: https://docs.pgedge.com/platform/
- Control Plane API: https://docs.pgedge.com/control-plane/
- Ansible: https://docs.pgedge.com/ansible/

## Core Extensions

Essential extensions that enable pgEdge's distributed database capabilities.

### Spock v5
Logical multi-master replication with bi-directional data flow and automatic
conflict resolution.
- Documentation: https://docs.pgedge.com/spock-v5/

### LOLOR
Large object replication for handling BLOBs in distributed environments.
- Documentation: https://docs.pgedge.com/lolor/

### Snowflake
Distributed sequence generation for cluster-wide unique IDs.
- Documentation: https://docs.pgedge.com/snowflake/

## AI Toolkit

pgEdge provides production-ready AI infrastructure for PostgreSQL.

### MCP Server
Model Context Protocol server enabling AI agents to interact with PostgreSQL
databases.
- Documentation: https://docs.pgedge.com/pgedge-postgres-mcp-server/

### RAG Server
High-performance Retrieval-Augmented Generation API with hybrid search.
- Documentation: https://docs.pgedge.com/pgedge-rag-server/

### Vectorizer
Automatic document chunking and vector embedding generation as a PostgreSQL
extension.
- Documentation: https://docs.pgedge.com/pgedge-vectorizer/

### DocLoader
Command-line utility for loading documents into PostgreSQL for AI
applications.
- Documentation: https://docs.pgedge.com/pgedge-docloader/

## Operations Tools

Utilities for managing, monitoring, and maintaining a PostgreSQL deployment.

### ACE (Active Consistency Engine)
Automated data integrity verification and repair across replicated clusters.
- Documentation: https://docs.pgedge.com/ace/

### Control Plane
Declarative API for database lifecycle management and orchestration.
- Documentation: https://docs.pgedge.com/control-plane/

### Radar
Agentless diagnostic data collection for PostgreSQL and system metrics.
- Documentation: https://docs.pgedge.com/radar/

### Anonymizer
PII replacement tool for creating safe dev/test database copies.
- Documentation: https://docs.pgedge.com/pgedge-anonymizer/

## Resources

Connect with the pgEdge community and access additional support channels.

- Website: https://www.pgedge.com
- GitHub: https://github.com/pgEdge
- Discord: https://discord.com/invite/pgedge
- Support: https://www.pgedge.com/support

## Documentation Site

This documentation is built using modern static site generation tools.

- Main documentation: https://docs.pgedge.com
- Built with MkDocs and Material for MkDocs theme