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.
💡 Why It Matters
Orama addresses the need for a lightweight, efficient search engine that can be deployed across various environments, including browsers, servers, and edge networks. This is particularly valuable for ML/AI teams looking to integrate advanced search capabilities without the overhead of heavier solutions. With over 10,000 stars, Orama demonstrates a solid level of community interest and engagement, indicating its maturity as a production-ready solution. However, it may not be the best fit for projects requiring extensive customisation or those needing complex search algorithms beyond its current capabilities.
🎯 When to Use
Orama is a strong choice for projects that require a fast, self-hosted search solution with support for full-text and vector search. Teams should consider alternatives if they need a more comprehensive search engine with advanced features or if their application demands extensive scalability.
👥 Team Fit & Use Cases
This open source tool for engineering teams is ideal for ML/AI engineers, data scientists, and developers focused on building search functionalities into applications. It is commonly used in products that require efficient data retrieval, such as content management systems, e-commerce platforms, and research applications.
🎭 Best For
🏷️ Topics & Ecosystem
📊 Activity
Latest commit: 2026-02-13. Over the past 96 days, this repository gained 235 stars (+2.4% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.