Infinity (database)
| Developer(s) | InfiniFlow |
|---|---|
| Written in | C++ |
| Engine | |
| Available in | English |
| License | Apache 2.0 |
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Infinity is an AI-native database that provides a wide range of search capabilities for rich data types such as vectors, full-text, and structured data. It provides robust support for various LLM applications, including search, recommenders, question-answering, conversational AI, copilot, content generation, and many more RAG (Retrieval-augmented Generation) applications[1][2][3][4].
Key features[edit]
Infinity comes with high performance, flexibility, ease-of-use, and many features designed to address the challenges facing the next-generation AI applications:
Incredibly fast[edit]
- Achieves 0.1 milliseconds query latency on million-scale vector datasets.
- Up to 10K QPS on million-scale vector datasets.
Fused search[edit]
Supports a fused search of multiple embeddings and full text, in addition to filtering.
Rich data types[edit]
Supports a wide range of data types including strings, numerics, vectors, and more.
Ease of use[edit]
- Intuitive Python API.
- A single-binary architecture with no dependencies, making deployment a breeze.
References[edit]
- ↑ "AI-Native Database, Powering the Next-Gen RAG for LLM". Medium_(website). December 26, 2023.
- ↑ "Why the era of RAG calls for a new AI database". Medium_(website). January 10, 2024.
- ↑ "Looking to the future of vector databases". Medium_(website). February 5, 2024.
- ↑ "Language models: what are they, why are they talked about so much, and what future will they have?". La_Repubblica. January 7, 2024.
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