Infinity
Infinity is an AI-native database built for LLM applications, offering fast hybrid search of dense vectors, sparse vectors, tensors, and full-text data.
About this tool
Infinity
Infinity is an AI-native database designed for LLM (Large Language Model) applications, offering fast and flexible hybrid search across various data types.
Features
- Hybrid Search: Supports fast search across dense vectors, sparse vectors, tensors (multi-vectors), and full-text data.
- Rich Data Types: Handles strings, numerics, vectors, tensors, and structured data.
- LLM Application Support: Suitable for use cases such as search, recommenders, question answering, conversational AI, copilots, content generation, and retrieval-augmented generation (RAG) applications.
- Performance: Designed for high performance and scalability; benchmark results available.
- Flexible Deployment:
- Embedded Mode: Can be embedded directly into Python applications without a separate backend server.
- Client-Server Mode: Supports deployment as a separate server and client process.
- Ease of Use: Provides a Python API and documentation for quick integration and usage.
- Open Source: Source code available on GitHub.
Pricing
No pricing information is provided; the project appears to be open source.
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Websitegithub.com
PublishedMay 13, 2025
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