Production-ready RAG APINo infrastructure

RaaS — Production-Grade RAG Without Infrastructure.

Turn your documents into an AI assistant instantly. Powerful vector search, seamless retrieval, and a plug-and-play API for any stack.

Free tier • No credit card requiredJS • Python • No-code
/query
API example or dashboard mockup
The problem

Building RAG in production is harder than it looks.

Infra, retrieval tuning, and scaling complexity add up quickly.

Building RAG in production is harder than it looks.

  • • Vector databases require infra, tuning, and ops.
  • • Chunking, embeddings, and retrieval strategies are non-trivial.
  • • Scaling queries reliably adds unexpected complexity.
  • • Teams re-implement the same pipelines again and again.

The RaaS approach

RAG as a managed capability, not a side project.

  • Ingest once. We handle chunking, embeddings, and indexing.
  • Query via one endpoint. Clean, predictable retrieval.
  • Scale automatically. No vector DB ops or infra decisions.
  • Production defaults. Tuned for real workloads.

Focus on your product logic — not retrieval infrastructure.

How It Works

Simple 3-Step System

STEP 1: UPLOAD

Step 1

Simply upload the document(s) you want to index, either with out white label widget or directly with the API

STEP 2: Parsing and Embedding

Step 2

RAG-API will automatically parse and embed your document(s) according to your needs and with sane defaults

Document parsing & embedding

Preparing Document2.pdf for search

Discovering document

Selected: Document2.pdf

Step 1/5In progress

STEP 3: QUERY

Step 3

After your document(s) has been indexed you can query one, more or all of them

Ask your data

Describe what you need in plain language

Press enter to generateNatural language → document
Use cases

Built for how teams actually ship software.

Backend Developers

Add retrieval-augmented intelligence to APIs, services, and internal tools with minimal surface area.

  • Customer support assistants
  • Internal knowledge search
  • Product documentation bots

Frontend Developers

Ship AI assistants directly in the browser without exposing sensitive infrastructure.

  • In-app help & onboarding
  • Search over user docs
  • Contextual copilots

No-Code Builders

Plug RAG into workflows without managing servers or databases.

  • Bubble / Webflow search
  • Zapier / Make workflows
  • AI-powered CMS
Get notified when live

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