Powabase

Powabase is an all-in-one backend-as-a-service platform built specifically for AI applications, combining Postgres, retrieval-augmented generation (RAG), agents, and drag-and-drop workflows into a single dedicated stack. It is currently in early access and targets developers and teams building AI-powered products who want to avoid stitching together multiple infrastructure services. The platform is designed to work natively with AI coding agents like Claude Code, Codex, and Cursor.

What It Is

Powabase is a Backend-as-a-Service (BaaS) platform that bundles the infrastructure layers most AI apps need: a relational database (Postgres with pgvector and RLS), an authentication service, object storage, realtime subscriptions, a full RAG pipeline, a ReAct agent runtime, and a visual workflow builder. Rather than integrating separate services for each layer, developers provision a single project and get a dedicated, isolated stack with its own compute, storage, and vector index. The platform exposes its data layer through PostgREST, a REST/GraphQL-style API, or a direct database connection.

RAG Pipeline and Retrieval Capabilities

The RAG subsystem handles the full ingestion-to-retrieval lifecycle. Developers can upload PDFs, images, Office files, or URLs; Powabase extracts, chunks, embeds, and indexes them automatically. The platform claims 91% OCR accuracy on OlmOCR-Bench and 98.7% RAG pipeline accuracy on FinanceBench. Four indexing strategies are available:

• ChunkEmbed — classic chunking plus pgvector embedding (default)
• PageIndex — hierarchical tree over documents for long structured content
• GraphIndex — entity-relation graph for multi-hop queries
• Doc2JSON — sliding-window extraction into structured records

Retrieval supports vector search, BM25 full-text search, hybrid search with reciprocal-rank fusion, and tree-walk retrieval. Cross-encoder reranking is available via Cohere, Voyage, Jina, or ZeroEntropy.

Agent Runtime and Workflow Builder

Agents are defined as ReAct orchestrations that can use multiple LLMs, knowledge bases, and tools. Runs stream over Server-Sent Events (SSE) with fully logged retrieval events, tool calls, token deltas, and citations. Sessions track multi-turn state. Built-in tools include web search (via Exa) and sandboxed code execution; custom tools can be added over HTTP or MCP servers.

The visual workflow builder lets developers drag and connect blocks — triggers, conditions, agents, HTTP calls, and code — and deploy them as callable HTTP endpoints. A natural-language copilot can design the flow from a plain-text description.

Deployment Model

Powabase supports three deployment paths:

• Managed Cloud — provisioned in seconds on Powabase's infrastructure, with updates, backups, and scaling handled by the platform
• Docker or Kubernetes — full self-hosted stack using a Helm chart for Kubernetes or Docker Compose for single-host; commercial license available on request
• Bring Your Own LLM Keys — OpenAI, Anthropic, Google, and OpenRouter keys stored per-project and encrypted at rest

Each project runs as a dedicated, isolated stack with no shared compute neighbors, which the platform positions as a compliance and security advantage.

Vibe Coding and Agent-First Design

Powabase explicitly targets AI coding agents as first-class users of the platform. The documentation is described as optimized for coding agents, and the platform exposes an MCP server so tools like Claude Code, Codex, and Cursor can provision projects, ingest documents, create knowledge bases, and run agents entirely through API calls without manual configuration.

Current Status

Powabase is in early access as of mid-2026. The platform states that the Free plan unlocks all features during this period, and that after early access ends (noted as June 30, 2026), the Free tier will move to a credit-based model with a monthly allowance refresh. Enterprise plans for managed cloud and private hosting are available now for teams requiring SLAs, regional data residency, SSO, or dedicated infrastructure.