About This Site
PostgreSQL platform for hybrid AI agent memory and retrieval 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.
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Key Features AI
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
Advantages
Combines relational, graph, vector, and full-text search in one platform
Works directly with existing PostgreSQL schemas and foreign-key relationships
Avoids the operational complexity of separate vector and graph databases
Produces a single ranked and token-ready context result
Offers open-source components for free self-hosting
Supports managed cloud deployment and automated scaling on higher plans
缺点：The managed platform is still developing and some plans are marked coming soon
缺点：Advanced production features require a relatively high minimum monthly spend
缺点：Users may need PostgreSQL and AI retrieval knowledge to configure schemas and queries
缺点：Support for the self-hosted option is primarily community-based
缺点：The service is currently seeking design partners, so product capabilities may continue to evolve
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