Powabase

Powabase

Powabase provides each project with its own Postgres, storage, auth, realtime, and agent runtime. Documents are automatically extracted, embedded, and indexed on upload. Agents can call tools via HTTP

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What is Powabase?

Powabase is an all-in-one backend platform for building AI applications, combining Postgres, RAG (retrieval-augmented generation), and agent capabilities into a single stack. It provides each project with its own dedicated Postgres database, storage, authentication, realtime features, and agent runtime. Users can upload documents for automatic extraction, embedding, and indexing, while agents can call tools via HTTP or MCP. The platform is optimized for AI coding agents like Claude Code, Codex, and Cursor, enabling rapid development from zero to a working product in about one week.

Application scenarios

  • Legal document Q&A

    Build a legal-document Q&A agent by uploading PDFs, extracting text, and querying via a streaming SSE endpoint.

  • Multimodal content indexing

    Upload PDFs, images, office files, or URLs for automatic OCR, chunking, embedding, and hybrid search indexing.

  • Multi-step agent workflows

    Drag and connect blocks (triggers, conditions, agents, HTTP calls, code) to create visual, callable workflows deployable as HTTP endpoints.

  • Enterprise compliance

    Use dedicated compute per project with isolated resources and backups to meet security and compliance requirements.

  • Rapid prototyping

    Teams can go from zero to MVP in one week using the platform's pre-built backend, RAG pipeline, and agent orchestration.

  • Self-hosted deployments

    Run the full stack on your own infrastructure via Docker or Kubernetes for data control and VPC compliance.

Core Features

  • Dedicated Postgres backend

    Each project gets its own Postgres database with Row-Level Security (RLS), auth service, object storage, and realtime capabilities, accessible via PostgREST REST/GraphQL API or direct database connection.

  • Automated RAG pipeline

    Upload PDFs, images, office files, or URLs — Powabase automatically extracts, chunks, embeds, and indexes content, with built-in OCR at 91% accuracy and RAG pipeline accuracy at 98.7% on FinanceBench.

  • Advanced search capabilities

    Supports BM25, pgvector, hybrid search, and state-of-the-art rerankers for multimodal content indexing.

  • Agent orchestration with tools

    Define ReAct orchestrations using multiple LLMs, knowledge bases, and tools, with streaming over SSE including logged retrieval events, tool calls, token deltas, and citations.

  • Visual workflow builder

    Build multi-step agent workflows by dragging and connecting blocks (triggers, conditions, agents, HTTP calls, code), with a natural-language copilot to design flows.

  • Vibe coding integration

    Optimized for AI coding agents (Claude Code, Codex, Cursor) with MCP support, allowing agents to create projects, upload sources, index knowledge bases, and run agents via API.

  • Bring your own LLM keys

    Supports OpenAI, Anthropic, Google, and OpenRouter, with keys stored per-project and encrypted at rest.

  • Flexible deployment options

    Choose between managed cloud (provisioned in seconds) or self-hosted via Docker or Kubernetes with a commercial license on request.

Target users

Powabase is designed for developers and engineering teams building AI applications, particularly those using AI coding agents like Claude Code, Codex, or Cursor. It suits enterprise teams needing compliant, dedicated infrastructure, as well as startups aiming for rapid prototyping (1 week to MVP). The platform also appeals to teams requiring multimodal RAG, agent orchestration, or visual workflow automation.

How to use Powabase?

Start by visiting app.powabase.ai to create a project. Upload documents (PDFs, images, office files, or URLs) for automatic extraction and indexing. Define agents with ReAct orchestrations, knowledge bases, and tools, then run them via streaming SSE. For coding agents, use the optimized API — for example, Claude Code can build a legal-document Q&A agent by sequentially creating a project, uploading sources, indexing a knowledge base, and running an agent. Deploy workflows as HTTP endpoints, and choose between managed cloud or self-hosted infrastructure.

Pricing and free trial

Pricing is not detailed on the website beyond mentioning "simple tiered pricing" for the managed cloud. No free trial or specific price points are provided.

Effect review

Powabase delivers a genuinely integrated backend for AI apps, combining Postgres, RAG, and agents in a way that eliminates the usual plumbing work. The dedicated compute per project and 98.7% RAG accuracy on FinanceBench suggest it can handle enterprise-grade retrieval tasks reliably. The vibe coding integration with Claude Code and Cursor is a standout feature, letting AI agents build and deploy projects via API in minutes. While pricing details are absent, the platform's feature set — from visual workflows to self-hosting — makes it a strong contender for teams that want a single backend to accelerate AI development without sacrificing compliance or performance.

Frequently Asked Questions

What is Powabase?
Powabase is a platform that provides each project with its own Postgres database, storage, authentication, realtime features, and agent runtime. It automatically extracts, embeds, and indexes documents on upload, and allows agents to call tools via HTTP.
How does Powabase handle document uploads?
When you upload documents, Powabase automatically extracts their content, generates embeddings (vector representations), and indexes them for efficient searching and retrieval.
Can agents in Powabase interact with external tools?
Yes, agents in Powabase can call external tools and services via HTTP requests, enabling integration with APIs and other web services.
What type of database does Powabase use?
Powabase uses a dedicated Postgres (PostgreSQL) database for each project, providing robust relational data storage and querying capabilities.
Does Powabase include authentication and realtime features?
Yes, Powabase provides built-in authentication and realtime capabilities, allowing you to manage user access and enable live data synchronization in your applications.

Powabase - AI Tool Detail

Powabase provides each project with its own Postgres, storage, auth, realtime, and agent runtime. Documents are automatically extracted, embedded, and indexed on upload. Agents can call tools via HTTP

Category：Agents

Visit Link：https://powabase.ai/

Tags：Postgres、AI Agent Runtime、Document Embedding、Real-time Data、Storage & Auth