Powabase

An all-in-one backend platform for building AI apps, combining Postgres, RAG pipelines, and agent workflows.

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powabase.ai
Verified API available Free tier
Quick facts
What is it An all-in-one backend platform for building AI apps, combining Postgres, RAG pipelines, and agent workflows.
Pricing Freemium
Free tier Yes
Platform Web Application
API Yes
Best for Building a document Q&A chatbot, Creating multi-step AI agent workflows
Domain registered 2026

Data updated Aug. 1, 2026

What does Powabase do?

Powabase is a development platform designed specifically for building AI applications. It bundles a traditional backend-as-a-service (BaaS) with a Postgres database, authentication, and storage, but its core purpose is to add powerful AI features on top. Specifically, it provides built-in tools for Retrieval-Augmented Generation (RAG), where you can upload documents like PDFs and have them automatically processed for AI queries, and for creating AI agents that can use tools and execute multi-step workflows.

What makes Powabase stand out is its integrated, opinionated approach. Instead of stitching together separate services for your database, vector search, and AI orchestration, it offers them in one place. Key features include a visual workflow builder where you can drag-and-drop steps like triggers and agent calls, and a system fine-tuned for AI coding assistants like Claude Code and Cursor. The platform provides detailed observability for agent runs, showing tool calls, token usage, and citations, which is crucial for debugging complex AI logic.

This tool is a strong fit for developers and small teams who want to build AI-powered products—like a legal document Q&A bot or a customer support agent—without managing the underlying infrastructure. It reduces the initial development time significantly, promising a working MVP in about a week. It's also built for flexibility, allowing you to deploy on their managed cloud, self-host on your own infrastructure, or bring your own API keys for major LLM providers.

#ai agents#backend as a service#llm orchestration#postgres#rag#vector database#workflow automation

Key features

What makes it stand out
01
Integrated Postgres backend with auth, storage, and realtime capabilities
02
Built-in RAG pipeline for document upload, chunking, embedding, and hybrid search
03
Visual drag-and-drop workflow builder for multi-step AI agent orchestrations
04
Full observability and logging for agent runs, tool calls, and token usage
05
Optimized for AI coding agents (Claude Code, Cursor) with MCP support and agent-friendly docs

Who is Powabase for?

Who benefits most from this tool
Building a document Q&A chatbot
Creating multi-step AI agent workflows
Developing an AI app with a managed backend and RAG

Pricing

Free tier available — start without a credit card

Free

Free
  • Per-project Postgres + pgvector
  • Auth, Storage, Realtime
  • Direct PostgREST access to your tables
  • Document ingestion with OCR (PDF, DOCX, images, URLs)
  • Four indexing strategies: ChunkEmbed, PageIndex, GraphIndex, Doc2JSON
  • Vector, BM25, hybrid, and tree retrieval with reranking
  • Agents with ReAct loop, hooks, approvals, streaming SSE
  • Builtin tools + custom HTTP tools + MCP servers
  • Multi-agent orchestrations
  • Visual + API workflows with the AI Copilot builder
  • Bring your own LLM keys

Enterprise — Managed

Custom
  • $500 in platform credits to start
  • Production-grade scale and rate limits
  • Regional data residency (US, EU)
  • SOC 2 reports, DPA, custom MSA
  • SSO (SAML / OIDC), audit logs, RBAC
  • Priority support with named contact and SLAs
  • Onboarding + architecture review

Enterprise — Private Hosting

Custom
  • $500 in platform credits to start
  • AWS, GCP, Azure, or on-prem
  • Helm for Kubernetes; Compose for single-host
  • Data stays in your perimeter; sovereign deployment
  • Bring your own KMS, secrets, and IdP
  • Air-gapped installations supported
  • Dedicated solutions engineer

Trust & presence

Domain Domain registered 2026

Gallery

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