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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.

agentskillexchange Updated 28 repo stars
DevOps & Infra

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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:

Source

agentskillexchange/skills/tree/main/skills/orama-embeddable-search-engine-rag-pipeline commit fc5051ac52

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Frequently asked questions

npx skillmds@latest add agentskillexchange/orama-embeddable-search-engine-and-rag-pipeline-for-javascri