Store anything. Search everything.

An API for object storage with built-in semantic search. Two endpoints.

Get started — free →Read documentation →

Store

import { Regrep } from 'regrep';
const rg = new Regrep();

await rg.store('products', {
  name: 'Trail Runners',
  description: 'Lightweight shoes for mountain terrain',
  price: 129,
  image: trailRunnerBuffer
});
// → stored, embedded, and indexed automatically

const { data } = await rg.search('products', 'comfortable hiking shoes');

// data[0]:
// {
//   name: 'Trail Runners',
//   description: 'Lightweight shoes for mountain terrain',
//   price: 129,
//   _score: 0.94,
//   _url: 'https://store.regrep.dev/products/...'
// }

Hybrid BM25 + vector search. Auto-embedding. Zero config.

Drop-in components

Add search and file upload to any React app in under a minute.

Search UI

import { SearchBox } from '@regrep/react';

function App() {
  return (
    <SearchBox
      collection="products"
      onSelect={(doc) => navigate(`/product/${doc.id}`)}
    />
  );
}

Upload UI

import { UploadZone } from '@regrep/react';

function Dashboard() {
  return (
    <UploadZone
      collection="documents"
      accept={['pdf', 'md', 'txt']}
      onComplete={(doc) => toast(`Indexed: ${doc.name}`)}
    />
  );
}

Components handle embedding, indexing, and storage. You handle the UI.

The complete API

POST/v1/collectionsCreate a collection

POST/v1/collections/:name/documentsStore and index a document

GET/v1/collections/:name/search?q=Semantic + keyword search

DELETE/v1/collections/:name/documents/:idDelete a document

DELETE/v1/collections/:nameDelete a collection

Elasticsearch: 400+ endpoints. Algolia: 80. Regrep: 5.

Built for agents

One environment variable. MCP server included.

Setup

npm install regrep

# That's it. One env var:
export REGREP_API_KEY=rg_live_...

MCP Server

{
  "mcpServers": {
    "regrep": {
      "command": "npx",
      "args": ["@regrep/mcp"]
    }
  }
}

Works with Cursor, Claude Code, Windsurf, and any MCP-compatible agent.

Pricing

Per document stored. Searches are always unlimited.

Free10K documents · 50K searches/mo · 1 project$0

Starter100K documents · unlimited searches$29/mo

Pro(recommended)1M documents · unlimited searches · analytics$99/mo

Scale10M documents · unlimited searches · SLA$299/mo