infinity
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
💡 Why It Matters
Infinity addresses the challenge of efficiently managing and searching through vast datasets, particularly in AI and ML applications. It offers a production-ready solution for teams needing fast hybrid search capabilities across dense and sparse vectors, making it ideal for ML/AI teams focused on large language models (LLMs). With a solid maturity level and active community support, it is a reliable choice for production environments. However, it may not be suitable for teams with simpler search requirements or those not leveraging advanced AI techniques.
🎯 When to Use
Infinity is a strong choice when teams require rapid and efficient search capabilities for complex datasets in AI applications. Consider alternatives if your project does not involve large-scale data or if simpler search functionalities suffice.
👥 Team Fit & Use Cases
This open source tool for engineering teams is primarily used by ML engineers, data scientists, and AI researchers. It typically integrates into products and systems that require advanced search functionalities, such as recommendation engines, search platforms, and data analysis tools.
🎭 Best For
🏷️ Topics & Ecosystem
📊 Activity
Latest commit: 2026-02-13. Over the past 96 days, this repository gained 205 stars (+4.9% growth). Activity data is based on daily RepoPi snapshots of the GitHub repository.