---
title: "Orama Embeddable Search Engine and RAG Pipeline for JavaScript"
description: "Orama is a full-text, vector, and hybrid search engine that runs in the browser, on a server, or at the edge in under 2KB. It provides built-in RAG pipeline support, typo tolerance, faceted search, and language-agnostic stemming — all without external dependencies."
verification: "security_reviewed"
source: "https://github.com/oramasearch/orama"
category:
  - "Data Extraction & Transformation"
framework:
  - "Multi-Framework"
tool_ecosystem:
  github_repo: "oramasearch/orama"
  github_stars: 10286
---

# Orama Embeddable Search Engine and RAG Pipeline for JavaScript

Orama is a full-text, vector, and hybrid search engine that runs in the browser, on a server, or at the edge in under 2KB. It provides built-in RAG pipeline support, typo tolerance, faceted search, and language-agnostic stemming — all without external dependencies.

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/orama-embeddable-search-engine-rag-pipeline/)