From Prototype to Production... Let your Agents Ship, Globally.
pgEdge Agentic AI Toolkit for Postgres
Enterprise-grade Postgres based infrastructure for developers building Agentic AI applications in environments with strict requirements for integration with existing applications, high availability, security, data sovereignty or global deployment.
When AI experiments become mission critical
The Power of AI combined with Postgres
PostgreSQL is powerful but it was never designed for direct interaction with intelligent agents. AI systems cannot naturally understand schemas, relationships, or business context. Traditional tools surface raw data without providing real reasoning or guidance.
Plus, AI agents are moving beyond prototypes. They're powering customer-facing features, processing real transactions, and making decisions that matter to your business. When that happens, you need more than a development playground—you need enterprise-grade Postgres infrastructure that scales from your laptop to data centers worldwide.
pgEdge Agentic AI Toolkit for Postgres is the first and only solution that takes your agentic applications from development through mission-critical production deployment, with flexible options for single-node or globally distributed architectures. It includes a full featured MCP Server that works with most versions of Postgres, opening up both new and existing Postgres databases for use with AI application builders and code generators such as Claude Code, Replit and Cursor.
What’s included in the pgEdge AI Toolkit
Production-grade from day one
MCP Server that understands your data
High-performance Model Context Protocol (MCP) server gives LLMs and agents secure access to Postgres databases with deep schema reasoning capabilities. Works with standard community Postgres (v14 and newer), Amazon RDS, and other implementations.
Hybrid search built In
VectorChord-bm25 extension delivers ranked BM25 search alongside semantic vector search for superior retrieval accuracy. Includes pgvector, pg_tokenizer.rs, and pg_vectorize extensions.
RAG Server
Dedicated API server for Retrieval-Augmented Generation using pgvector that turns your Postgres data into context for your agents instantly. It’s easy to load content and make it searchable by your agents. No external services or third-party pipelines required.
Natural Language Querying
Query your data in plain English via CLI or web interface—no SQL required. Perfect for business users working alongside your agentic applications.
Model Flexibility: Run locally hosted models like Ollama for privacy and cost control, or leverage frontier models like Claude Sonnet 4.5 and OpenAI GPT-5 when you need maximum capability.
High Availability Everywhere: Your mission-critical AI workloads get the same reliability as your core business systems.
Data Sovereignty & Security: Deploy in specific regions or on-premises to meet regulatory requirements. Air-gapped deployments supported for maximum security environments.
Latest Postgres Versions: Full support for PostgreSQL v16, v17, and v18. Stay current with the Postgres ecosystem while building next-generation AI applications.
First class AI Extensions: Leverage Postgres extensions for building your AI applications including VectorChord-bm25, pgVector, pg_vectorize and pg_tokenizer.rs.
Protect Sensitive Data: Anonymize personally identifiable data with the pgEdge Anonymizer: Replace real values with consistent and realistic substitutes while preserving referential integrity and database structure.
Keep Embeddings Current: With pgEdge_vectorizer all of your AI embeddings will remain up to date without any additional dependencies
Get started today
Build agentic AI apps on the only Postgres platform designed for the entire journey.The pgEdge Agentic AI Toolkit for Postgres is available for free to all Postgres users. pgEdge customers with paid subscriptions for pgEdge Enterprise Postgres or pgEdge Distributed Postgres receive support at no extra cost.
Built for Enterprise requirements. Designed for developer freedom.
Deploy Anywhere, Scale EverywhereEasy to use: Simple install with minimal configuration alongside any PostgreSQL instance.
Non-Distributed Production: Start with a single-node deployment for cost-efficient, production-grade AI workloads. Perfect for applications that need enterprise reliability without geographic distribution.
Globally Distributed: Scale to active-active, multi-master replication across regions when your agents need to serve users worldwide with sub-50ms latency and local data sovereignty compliance.
Flexible Deployment: Deploy on-premises (even air-gapped), with containers, in your own cloud infrastructure, or via pgEdge Cloud managed service. You choose what works for your security and regulatory requirements.
Secure by Default: Read-only access ensures safe exploration. Zero-risk analysis for every user.
No Vendor Lock-in: Fully open source under the Postgres license so you can benefit from community innovation while avoiding vendor lock-in.
Integrate with existing infrastructure: Work seamlessly with your current Postgres deployments – no migration required. Add AI capabilities to your existing databases without disrupting your operational systems.
Unified Platform: One platform for data access, system context, and configuration insight. No need to stitch tools together. No custom connectors to maintain.
What can pgEdge Agentic AI do for you?
Accelerate AI Feature Development
Build agentic applications that understand and use real data. Agents understand schemas, generate SQL, and validate business logic without developer hand-holding. Fast iteration with safe testing environments.
Simplify Database Operations
Replace manual metric analysis with natural language queries. Get intelligent summaries of replication status, performance patterns, and system health. Troubleshoot issues faster with AI-driven insights and context.
Enable Self-Service Analytics
Empower teams to query live operational data without SQL skills. Natural language answers include schema context and data lineage. Remove engineering bottlenecks and eliminate long ticket queues
Support Enterprise AI Requirements
Run agentic AI in any environment, including air-gapped or regulated deployments. Choose local or cloud models. Scale from single-node Postgres to fully distributed architectures while maintaining security and data sovereignty.
Built for faster development and smarter operations
For DBAs, Sysadmins, and DevOps teams
Delivers natural-language access to configuration, replication state, and system health. Teams diagnose issues faster, understand performance signals instantly, and remove much of the manual effort involved in running large or distributed Postgres environments.
For Developers building AI applications
Everything needed to make Postgres ready for agentic workflows. Schema introspection, hybrid search, vector indexing, anonymized datasets, and RAG integration allow developers to build AI features that reason over real data safely.
Agents can explore data, test logic, and generate SQL without requiring glue code or translation layers. This accelerates feature delivery and unlocks entirely new AI-driven product capabilities.
Ready to take your agentic AI from prototype to production?
Join the community and learn more.
Learn more from technical blogs, FAQs, demos and more:
Building a RAG Server with PostgreSQL - Part 1: Loading Your Content
Building a RAG Server with PostgreSQL - Part 2: Chunking and Embeddings
Building a RAG Server with PostgreSQL - Part 3: Deploying Your RAG API
Building AI Agents on Postgres: Why We Built the pgEdge Agentic AI Toolkit
Introducing The pgEdge Postgres MCP Server - And How to Connect it to Claude Code and Cursor
Dive deeper into pgEdge
How to Unleash Ultra High Availability and Zero Downtime Maintenance with Distributed PostgreSQL
How Multi-Master Distributed Postgres Solves High Availability and Low Latency Challenges
Get started today.
Experience the magic of pgEdge for non-distributed and distributed Postgres deployments.