Project Title
orama โ A lightweight, versatile search engine and RAG pipeline for various environments
Overview
Orama is a compact, powerful search engine and Retrieval-Augmented Generation (RAG) pipeline designed to operate in browsers, servers, or edge networks. It stands out for its ability to support full-text, vector, and hybrid search within a tiny 2kb footprint, making it an efficient choice for developers looking to integrate advanced search capabilities without bloating their applications.
Key Features
- Full-Text search with typo tolerance and exact match capabilities
- Vector Search for embedding-based queries
- Hybrid Search combining full-text and vector search
- GenAI Chat Sessions for interactive AI-powered conversations
- Search Filters, Geosearch, Facets, and Fields Boosting for refined search results
- BM25 algorithm for ranking search results
- Stemming and tokenization support in 30 languages
- Plugin System for extensibility
Use Cases
- Developers integrating search functionality into web applications
- Enterprises needing a lightweight search solution for on-premises or edge deployments
- Content creators using GenAI Chat Sessions for interactive content
- E-commerce platforms enhancing product search with vector search capabilities
Advantages
- Ultra-lightweight, with a minimal impact on application size
- Supports a wide range of search types, including full-text, vector, and hybrid
- Offers advanced text analysis features like stemming and tokenization in multiple languages
- Plugin system allows for easy customization and extension
Limitations / Considerations
- The project's license is currently unknown, which may affect its use in commercial applications
- As a newer project, it may lack the extensive community and ecosystem of more established search solutions
- Performance and scalability in very large datasets or high-traffic environments may require further testing and optimization
Similar / Related Projects
- Elasticsearch: A widely-used, feature-rich search and analytics engine that is more heavyweight compared to Orama.
- Meilisearch: A RESTful search API that is also lightweight but focuses primarily on full-text search without the vector search capabilities of Orama.
- Typesense: An open-source, typo-tolerant search engine that is similar in lightweight design but does not offer the RAG pipeline features of Orama.
Basic Information
- GitHub: https://github.com/oramasearch/orama
- Stars: 9,801
- License: Unknown
- Last Commit: 2025-09-24
๐ Project Information
- Project Name: orama
- GitHub URL: https://github.com/oramasearch/orama
- Programming Language: TypeScript
- โญ Stars: 9,801
- ๐ด Forks: 359
- ๐ Created: 2022-05-10
- ๐ Last Updated: 2025-09-24
๐ท๏ธ Project Topics
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๐ Related Resource Links
๐ Documentation
- Full-Text search
- Vector Search
- Hybrid Search
- GenAI Chat Sessions
- Search Filters
- Geosearch
- Facets
- Fields Boosting
- Typo Tolerance
- Exact Match
- BM25
- Stemming and tokenization in 30 languages
- Plugin System
- https://docs.orama.com
๐ Related Websites
This article is automatically generated by AI based on GitHub project information and README content analysis