Infinity
An AI-native database built for LLM applications, offering incredibly fast hybrid search across vectors, tensors, and full-text.
What is Infinity?
Infinity is an AI-native database engineered for LLM (Large Language Model) applications, providing incredibly fast hybrid search capabilities across dense vectors, sparse vectors, tensors, and full-text data. It solves the problem of efficiently retrieving and managing diverse data types essential for AI-driven tasks like search, recommendation, and RAG (Retrieval-augmented Generation).
AI developers, data engineers, and researchers building LLM applications such as search systems, recommenders, question-answering bots, conversational AI, and RAG pipelines who need high-performance, flexible data retrieval.
Developers choose Infinity for its exceptional speed (sub-millisecond latency), support for hybrid search across multiple data types, and ease of use with a Python-first API and simple deployment, making it a powerful, all-in-one database for modern AI workloads.
Overview
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
Use Cases
Best For
- Building high-performance RAG (Retrieval-augmented Generation) applications
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