pgvector 2

All-in-one backend-as-a-service for building AI-native applications and workflows. Powabase is an all-in-one backend-as-a-service (BaaS) platform specifically designed for AI-native applications. It integrates a dedicated Postgres database with pgvector, an out-of-the-box Retrieval-Augmented Generation (RAG) pipeline, AI agent runtimes, and drag-and-drop visual workflows into a single system. The platform is optimized for modern AI coding agents like Claude Code, Codex, and Cursor, allowing software development agencies and in-house IT teams to ship AI products or add AI automation to existing infrastructure quickly and cost-effectively without managing fragmented services.

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.