Struggling to give AI agents persistent memory across scattered data?
Stop Wasting Time on Data Silos
With Polygres, you unify relational data, graph traversal, vector search, and full-text in PostgreSQL to deliver token-ready context for AI agents.
The Aha Moment: Grounded Context
Polygres fuses results from tables, relationships, and embeddings into a single context block, accelerating grounding and accuracy.
Deploy as managed cloud or self-hosted, and retrieve customer records, orders, and interactions without a separate vector or graph database.
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Customer Reviews for Polygres
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Iโve been building a memory layer for a customer-support AI, and Polygresโ unified retrieval across relational, graph, vector, and full-text results is a game changer. The graph traversal over PostgreSQL keys makes multi-hop investigations fast, letting me trace a customerโs orders and disputes in a single query. The token-ready context blocks save me from slicing data manually. I chose self-hosted for control, and while the setup is doable, the onboarding docs could be clearer for first-timers.
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Showing 1 - 2 of 2 reviews .
Yuki Tanaka
Trusted ReviewerGraph-driven investigations finally click, but performance needs attention
What I liked
What could be better
As a security-ops engineer investigating failed payments, Polygresโ graph traversal unlocks fast, multi-hop queries over my PostgreSQL data. I can chain relationships from a transaction to a dispute and related notes without exporting records. The hybrid search helps me surface relevant context with semantic closeness, and the token-ready blocks let me feed AI assistants the exact fields they need. The option to self-host is a plus, but when datasets go large, performance can dip until I optimize indices and caching.
Mia Martinez
Trusted Reviewer Verified purchaseUnified retrieval finally clicks for my AI memory layer
What I liked
What could be better
Iโve been building a memory layer for a customer-support AI, and Polygresโ unified retrieval across relational, graph, vector, and full-text results is a game changer. The graph traversal over PostgreSQL keys makes multi-hop investigations fast, letting me trace a customerโs orders and disputes in a single query. The token-ready context blocks save me from slicing data manually. I chose self-hosted for control, and while the setup is doable, the onboarding docs could be clearer for first-timers.
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How it works
How Polygres Works In 3 Steps?
1. Install Polygres
Install Polygres on PostgreSQL to enable AI agent memory retrieval.
2. Connect your schema
Attach tables and relations to enable graph and relational queries.
3. Run a NL query
Submit natural-language queries to fetch token-ready context for agents.
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Polygres: Features, Advantages & FAQs
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Developed by: Polygres Team
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