Powabase

Powabase really is an all-in-one platform for making AI apps. It’s got a single backend, which is a big help for companies, even like those in the F1000. So, it includes Postgres, you know, with row-level security and everything. There’s also a good auth service, object storage, and even real-time stuff built right in. You can access all this through PostgREST, that’s like a REST/GraphQL kind of API, or you can just connect straight to the database if you want. It's totally tuned for AI workloads; important for agents too.

The RAG part, Retrieval Augmented Generation, it comes right out of the box. Super convenient. You can just upload PDFs, images, any office files really, or even URLs. Powabase does all the work: extracts, chunks, embeds, and indexes them. Their OCR is very accurate, hitting 91% on OlmOCR-Bench, and the RAG pipeline gets to 98.7% accuracy on FinanceBench benchmarks. It handle multimodal content indexing, so different types of data are not a problem. BM25, pgvector, hybrid search, plus some pretty SOTA rerankers are all included.

For agents, it’s got tools ready for you. You can define ReAct orchestrations that use multiple LLMs, along with knowledge bases and tools. It streams over SSE, logging retrieval events, tool calls, token deltas, and citations. Sessions keep track of multi-turn state too. You can use their built-in tools, like web search and code execute, or you can add your own over HTTP or MCP. Workflows, visual and callable, makes sense, right? You just drag and connect blocks for triggers, conditions, agents, HTTP calls, code. Plus, the natural-language copilot can help design the flow for you, which is a neat touch. Deploying a workflow turns it into a handy HTTP endpoint.

Each project gets its own isolated stack. This means your own Postgres, your own Realtime, and your own Storage. No shared logical databases, which eliminate noisy-neighbor risks, and SOC 2 / HIPAA compliance is there by default. The compute layer is specifically engineered for AI jobs: retrieval, rerank, and the agent runtime are all co-located. This keeps RAG hot, so agent loops stay fast. It also works well with your coding agents—the docs are optimized for them, and the platform speaks MCP. Claude Code, Codex, and Cursor can build on Powabase without needing hand-holding. You can deploy it how you like: on their managed cloud, self-host with Docker or Kubernetes, or bring your own LLM keys. It supports OpenAI, Anthropic, Google, and OpenRouter, with keys encrypted per-project.

Powabase offers a pretty solid platform for building AI applications, especially with its integrated RAG and agent capabilities. The isolation per project for Postgres and compute is smart, it reduce noisy-neighbor risks and bumps up compliance. While the pricing structure with credit rollovers a bit complex for new users, the free tier lets you kick the tires enough. It's definitely a strong contender for developers serious about AI. We do recommend this tool to our audience.