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orama

oramasearch/orama

A lightweight search engine with support for full-text, vector, and hybrid search.

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TypeScript OtherLast pushed Jul 3, 2026

Overview

Orama provides a compact (less than 2kb) full-featured search engine supporting full-text, vector, and hybrid searches. It includes GenAI chat sessions, typo tolerance features, and works seamlessly across browsers, servers, or edge networks.

Categories

Vector DatabasesData & Retrieval

Tags

full-text-searchjavascriptsearch-enginevector-database-embeddingtypescriptvector-searchhybrid-search

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Install

npm install orama
npm Docs / website

README

If you need more info, help, or want to provide general feedback on Orama, join the Orama Slack channel

Highlighted features

Installation

You can install Orama using npm, yarn, pnpm, bun:

npm i @orama/orama

Or import it directly in a browser module:

<html>
  <body>
    <script type="module">
      import { create, insert, search } from 'https://cdn.jsdelivr.net/npm/@orama/orama@latest/+esm'
    </script>
  </body>
</html>

With Deno, you can just use the same CDN URL or use npm specifiers:

import { create, search, insert } from 'npm:@orama/orama'

Read the complete documentation at https://docs.orama.com.

Orama Features

Usage

Orama is quite simple to use. The first thing to do is to create a new database instance and set an indexing schema:

import { create, insert, remove, search, searchVector } from '@orama/orama'

const db = create({
  schema: {
    name: 'string',
    description: 'string',
    price: 'number',
    embedding: 'vector[1536]', // Vector size must be expressed during schema initialization
    meta: {
      rating: 'number',
    },
  },
})

insert(db, {
  name: 'Noise cancelling headphones',
  description: 'Best noise cancelling headphones on the market',
  price: 99.99,
  embedding: [0.2432, 0.9431, 0.5322, 0.4234, ...],
  meta: {
    rating: 4.5
  }
})

const results = search(db, {
  term: 'Best headphones'
})

// {
//   elapsed: {
//     raw: 21492,
//     formatted: '21μs',
//   },
//   hits: [
//     {
//       id: '41013877-56',
//       score: 0.925085832971998432,
//       document: {
//         name: 'Noise cancelling headphones',
//         description: 'Best noise cancelling headphones on the market',
//         price: 99.99,
//         embedding: [0.2432, 0.9431, 0.5322, 0.4234, ...],
//         meta: {
//           rating: 4.5
//         }
//       }
//     }
//   ],
//   count: 1
// }

Orama currently supports 10 different data types:

TypeDescriptionExample