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.
All-in-one backend-as-a-service for building AI-native applications and workflows.
- Building a legal-document Q&A agent that extracts data from multiple PDFs and streams answers
- Developing automated multi-agent customer support workflows with web search and sandboxed code execution
- Creating an enterprise AI application with isolated, secure database architecture and regional data residency
- To use Powabase
- start a project to instantly provision an isolated development stack containing Postgres
- authentication
- object storage
- and an agent runtime. You can then upload documents (PDFs
- images
- URLs) to let the platform automatically extract and index them into the vector database. From there
- define multi-agent orchestrations
- build multi-step automation workflows using the visual drag-and-drop editor or natural-language copilot
- and deploy them as callable HTTP endpoints.
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