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Vector DBFreeOpen Source
ORAMA
Full-text, vector, and hybrid search in under 2KB
Apache-2.0
ABOUT
Traditional search engines are either cloud-dependent (Algolia, Meilisearch), heavy (Elasticsearch), or lack vector/embedding capabilities for semantic search. Orama solves this by providing full-text, vector, and hybrid search in a single, dependency-free package under 2KB that runs anywhere — browser, serverless, edge, or Node.js — without external infrastructure. Developers get production- grade search without managing a separate search cluster.
INSTALL
npm install @orama/oramaINTEGRATION GUIDE
1. Build client-side search for documentation sites and e-commerce catalogs with zero server infrastructure
2. Power semantic search across product catalogs with vector embeddings and hybrid ranking
3. Implement geo-aware search for location-based applications with built-in geosearch support
4. Create GenAI chat experiences over indexed documents with built-in answer engine integration
5. Deploy search at the edge for ultra-low-latency queries on serverless and edge runtimes
TAGS
searchvector-searchfull-text-searchhybrid-searchjavascriptedgeopen-source