Orama
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support f
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Price
Free
API key required
Works With
About
[](https://github.com/oramasearch/orama/actions/workflows/turbo.yml)
If you need more info, help, or want to provide general feedback on Orama, join the Orama Slack channel
Highlighted features
- Full-Text search
- Vector Search
- Hybrid Search
- GenAI Chat Sessions
- Search Filters
- Geosearch
- Pinning Rules (Merchandising)
- Facets
- Fields Boosting
- Typo Tolerance
- Exact Match
- BM25
- Stemming and tokenization in 30 languages
- Plugin System
Installation
You can install Orama using npm, yarn, pnpm, bun:
npm i @orama/oramaOr import it directly in a browser module:
import { create, insert, search } from 'https://cdn.jsdelivr.net/npm/@orama/orama@latest/+esm'
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'
})Don't lose this
Three weeks from now, you'll want Orama again. Will you remember where to find it?
Save it to your library and the next time you need Orama, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. 🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support f. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
Heads up: this needs an API key to work. You'll get one from the service's website (usually free). The setup guide tells you exactly where.
Your data stays between you and your AI — nothing is shared with us or anyone else.
What's New
Imported from GitHub
Ratings & Reviews
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