Polygres
Turns your Postgres database into a search engine for AI agents — hybrid queries across rows, relationships, and embeddings in one call.
| What is it | Turns your Postgres database into a search engine for AI agents — hybrid queries across rows, relationships, and embeddings in one call. |
|---|---|
| Pricing | Freemium — from $16/mo |
| Free tier | Yes |
| Platform | Web Application |
| API | Yes |
| Best for | providing context to AI agents for grounded responses, searching relational databases in real time for retrieval-augmented generation |
| Domain registered | 2026 |
Data updated Sept. 19, 2026
What does Polygres do?
Polygres is a tool that turns any Postgres database into an internal search engine designed for AI agents. Instead of stuffing prompts with context or manually curating which rows to include, you run one hybrid query that spans graph traversal, vector search, full-text, and more. The result is a single ranked, token-ready context block that your agent can use immediately. It works with your existing Postgres instance — whether hosted on Polygres, Supabase, Neon, or any connection string.
Under the hood, Polygres uses two open-source Postgres extensions: pgGraph for graph traversal (foreign keys become a compiled graph) and pgContext for AI-native search (dense vectors, sparse retrieval, full-text, discovery, and exact fusion). All search methods run against your live tables at once, and a fusion pass re-ranks every hit. The CLI lets you manage projects and run queries from the terminal, and the SDK integrates directly into your agent's code. The page emphasizes that this approach gives agents "unbounded effective context" — no token limits, no forgetting, no manual curation.
Polygres is built for developers and teams building AI agents that need to query relational data in real time. It's especially useful for RAG pipelines, customer support bots, internal knowledge retrieval, and any scenario where an agent needs to pull context from a large, structured database. The open-source engines mean you're not locked into a proprietary stack. The managed hosting option gets you started in minutes, and the free tier lets you test before committing.
Key features
What makes it stand outWho is Polygres for?
Who benefits most from this toolPricing
Free tier available — start without a credit cardSelf-Hosted
- Open Source pgGraph & pgVector
- Run on any Postgres instance
- Community Support
Launch
- Managed cloud database hosting
- Support: Email & Community Discord
Scale
- Automated vertical & horizontal scaling
- Support: Email & Community Discord
- Private Discord/Slack Channel
- Support Hours: 8:00 AM - 5:00 PM
Enterprise
- Dedicated database cluster infrastructure
- Email & Community Discord
- Private Discord/Slack Channel
- Support Hours: 24/7
- Dedicated Support SLA & Uptime SLA
Trust & presence
Gallery
Click any image to enlargeAlternatives in Data Mining
AI platform that automates complex document workflows — extracting, analyzing, and validating data from emails, PDFs, and scans.
AI document processing tool — upload business documents, automatically extract structured data, and trigger workflows without coding.
AI document processing tool that extracts structured JSON data from PDFs and images in seconds
Web crawling platform that extracts and structures website content for AI applications — no coding required
AI platform that extracts verifiable, structured insights from complex business documents like reports and spreadsheets.
AI document parsing API that extracts, validates, and autocompletes data from invoices, receipts, and other documents
AI-powered table extraction from PDFs, images, and documents into Excel, CSV, or JSON formats instantly.
AI tool that extracts, creates, and manages structured tables from documents, images, and webpages.
Similar tools
AI agent harness that indexes all your repos for cross-repo visibility and persistent session memory
Production-grade AI gateway for managing LLM APIs, AI agents, and providing unified access to multiple AI models.
A backend platform that lets AI coding agents build and deploy full-stack applications automatically.
An all-in-one backend platform for building AI apps, combining Postgres, RAG pipelines, and agent workflows.
Real-time data platform for AI agents and applications — caching, vector search, streaming, and session management
Data platform for building high-performance applications with integrated database, analytics, interoperability, and AI capabilities.
Cloud browser API for AI agents — instant headless browsers for scraping, testing, and automation without infrastructure.