# 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.

- Skill: `agentskillexchange/orama-embeddable-search-engine-and-rag-pipeline-for-javascri` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/orama-embeddable-search-engine-and-rag-pipeline-for-javascri`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/orama-embeddable-search-engine-and-rag-pipeline-for-javascri/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: DevOps & Infra
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/orama-embeddable-search-engine-and-rag-pipeline-for-javascri

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# 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

Use the upstream install or setup path that matches your environment:
- npm i @orama/orama
- With Deno, you can just use the same CDN URL or use npm specifiers:

Requirements and caveats from upstream:
- embedding: 'vector[1536]', // Vector size must be expressed during schema initialization
- import '@tensorflow/tfjs-node' // Or any other appropriate TensorflowJS backend, like @tensorflow/tfjs-backend-webgl

Basic usage or getting-started notes:
- You can install Orama using npm, yarn, pnpm, bun:
- sh
- Or import it directly in a browser module:

- Source: https://github.com/oramasearch/orama
- Extracted from upstream docs: https://raw.githubusercontent.com/oramasearch/orama/HEAD/README.md

## Source

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