# orama

> Orama is a lightweight search engine that supports vector and hybrid search functionalities, suitable for browser, server, or edge environments.

- **URL:** https://github.com/oramasearch/orama
- **Category:** vector-database-engines
- **Tags:** Open Source, Vector Search, Hybrid Search, Lightweight
- **Updated:** 2025-05-13 22:29
- **Canonical page:** https://vectordb.ever.works/pl/items/orama

## Details

# Orama

[Orama](https://github.com/oramasearch/orama) is a lightweight, open-source search engine supporting full-text, vector, and hybrid search. It is suitable for use in browsers, servers, or edge environments, with a very small footprint (less than 2kb).

## Features
- **Lightweight**: Core library is under 2kb, making it suitable for resource-constrained environments.
- **Multi-environment support**: Can be used in browsers, on servers, or at the edge.
- **Search Modes**:
  - Full-text search
  - Vector search
  - Hybrid search (combines full-text and vector search)
- **RAG Pipeline**: Supports Retrieval-Augmented Generation (RAG) workflows for building chat or search experiences similar to ChatGPT or Perplexity.
- **Flexible Data Types**: Supports 10 data types in its indexing schema:
  - `string`, `number`, `boolean`, `enum`, `geopoint`, `string[]`, `number[]`, `boolean[]`, `enum[]`, `vector[size]`
- **Embeddings Support**: Ability to use text embeddings for vector and hybrid search. Plugins available for generating embeddings and proxying OpenAI embedding models securely from the client side.
- **Plugin System**: Official plugins available and support for writing custom plugins.
- **Open Source**: Licensed under the Apache 2.0 license.

## Tags
open-source, vector-search, hybrid-search, lightweight

## Category
Vector Database Engines

## Pricing
Orama is open-source software and free to use under the Apache 2.0 license.

---

_This Markdown mirror is generated by Ever Works for AI agents. The canonical HTML page is at https://vectordb.ever.works/pl/items/orama._