oramasearch/orama
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb. observed · 2026-08-28
Health v2 · maintenance only
84/100
- Activity 95
- Release rhythm 62
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 8
- age_days: 1576
- days_rel: 257
- days_push: 30
- n_releases_24m: 34
Adoption not part of the score
10533 stars · 399 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Orama is a lightweight (~2kb) search engine and RAG pipeline library written in TypeScript that runs in the browser, server, or edge network. It supports full-text, vector, and hybrid search with features like typo tolerance, BM25 scoring, facets, geosearch, and multilingual stemming.
Use cases
- add full-text search to a javascript app
- run a vector search database in the browser
- build a hybrid search engine with keyword and semantic matching
- create a RAG answer engine over my documents
- implement typo-tolerant search for a small dataset
- add faceted search and filters to an e-commerce site
- search documents on edge/serverless functions without a database server
- support stemming and tokenization in multiple languages
When to choose
- you need embedded search with no external service or server dependency
- you want full-text, vector, and hybrid search in one tiny library
- you're building for browser, edge, or serverless environments where footprint matters
- you need a lightweight RAG/answer-engine pipeline in JavaScript or TypeScript
When to avoid
- you need a large-scale distributed search cluster like Elasticsearch or OpenSearch
- you require heavy-duty persistence, replication, or multi-node indexing
- your dataset is too large to hold in memory
- you need a managed hosted search service with dashboards and analytics
Facets
library · maturity active
search-engine vector-database rag plugin-system nlp databases web-development browser bun cross-platform cli full-text-search hybrid-search typo-tolerance bm25 geosearch embeddings answer-engine edge-runtime facets stemming search retrieval-augmented-generation natural-language-processing nodejs deno web-server
7 sources
- readme: https://github.com/oramasearch/orama · fetched 2026-08-28 · 77bc1a74b318
- homepage: https://docs.orama.com/docs/orama-js · fetched 2026-08-29 · 1cf2bc3d979a
- site_page: https://docs.orama.com/docs/orama-js/results-pinning · fetched 2026-08-29 · 54ae545430b2
- site_page: https://docs.orama.com/docs/orama-js/answer-engine · fetched 2026-08-29 · 87a18cf55892
- site_page: https://docs.orama.com/docs/orama-js/supported-languages · fetched 2026-08-29 · 418f0bca287d
- site_page: https://docs.orama.com/docs/orama-js/supported-languages/using-chinese-with-orama · fetched 2026-08-29 · dacd01c321de
- site_page: https://docs.orama.com/docs/orama-js/supported-languages/using-japanese-with-orama · fetched 2026-08-29 · 4d5899cc1c3f
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| oramasearch/orama | main | 84 |
For agents
markdown · JSON · MCP: product_card(name="oramasearch/orama")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem