Polygres

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Introduction:
PostgreSQL platform for hybrid AI agent memory and retrieval
Added on:
Aug 26 2026
Monthly Visitors:
11.6K
Social & Email:
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Polygres Product Information

What is Polygres?

Polygres is an all-in-one PostgreSQL platform for AI agents that combines relational data, graph traversal, vector search, and hybrid retrieval through a unified API. It turns existing PostgreSQL databases into working memory for agents, allowing them to retrieve structured rows, connected relationships, semantic matches, full-text results, and filtered context without using a separate vector database, graph database, or synchronization pipeline. Polygres includes pgGraph for foreign-key-based graph traversal and pgContext for fused retrieval across dense HNSW vectors, sparse search, full-text search, filtering, recommendations, discovery, grouped results, and lookups. Users can deploy it as a managed cloud database or self-host its open-source components.

How to use Polygres?

Create a Polygres managed instance or install the open-source components on an existing PostgreSQL database. Connect your schema and use the SDK or retrieval API to submit a natural-language query with options such as graph traversal depth, filters, and token limits. Polygres combines relational, graph, vector, and text results into one ranked, token-ready context block that can be passed directly to an AI agent.

Polygres's Core Features

Unified relational, graph, vector, and full-text retrieval

Native graph traversal over existing PostgreSQL foreign keys

Fused hybrid search with dense HNSW, sparse, filtered, and semantic retrieval

Token-ready context assembly for grounded AI agents

Shortest-path, neighborhood, relationship, and multi-hop graph queries

Managed cloud hosting and open-source self-hosting

PostgreSQL-native data retrieval without a separate vector store or sync pipeline

Polygres's Use Cases

#1

Build grounded AI agents that retrieve customer records, orders, tickets, and related history

#2

Investigate failed transactions by combining semantic search with order, payment, and dispute relationships

#3

Create user-memory systems that retrieve relevant past interactions and connected data

#4

Query Wikipedia-scale datasets using hybrid indexes and graph relationships

#5

Provide support agents with ranked, database-backed context

#6

Develop recommendation and discovery systems using existing PostgreSQL data

FAQ from Polygres

What is Polygres?

Does Polygres require a separate vector or graph database?

What is pgGraph?

What is pgContext?

Can Polygres be self-hosted?

Is Polygres free?

How does Polygres help AI agents?

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Polygres Pricing

Self-Hosted

$0 / forever

Open-source pgGraph and pgVector, runnable on any PostgreSQL instance, with community support.

Free Launch

$16 / month

Managed cloud database hosting with email and community Discord support. Currently free for now.

Scale

$256 / month minimum usage

Automated vertical and horizontal scaling, email and community Discord support, private Discord or Slack channel, and support hours from 8:00 AM to 5:00 PM.

Enterprise

$4,096 / month minimum usage

Coming soon. Includes dedicated database infrastructure, custom compliance, high availability, 24/7 support, and dedicated support and uptime SLAs.

Analytic of Polygres

Polygres Website Traffic Analysis

Visit Over Time

Monthly Visits
11.6K
Avg.Visit Duration
00:00:12
Page per Visit
1.40
Bounce Rate
92.09%
May 2026 - Jul 2026 All Traffic

Geography

Top 1 Regions

United States
100.00%
May 2026 - Jul 2026 Desktop Only

Traffic Sources

Direct
57.14%
SocialOrganic
21.37%
SearchOrganic
13.47%
Referrals
5.27%
Mail
2.75%
GenAi
0.00%
Affiliate
0.00%
DisplayAds
0.00%
SearchPaid
0.00%
SocialPaid
0.00%
May 2026 - Jul 2026 Worldwide Desktop Only

Top Keywords

Keyword
Traffic
Cost Per Click
polygres
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