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InfinityFlow is an AI-native database tool that provides incredibly fast hybrid search for LLM applications. It supports dense and sparse embeddings, tensor, and full-text search with a Python API.
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InfinityFlow is an AI-native database specifically designed for large language model (LLM) applications, offering incredibly fast hybrid search capabilities. It supports a wide range of search types including dense embedding, sparse embedding, tensor, and full-text search, alongside filtering and various rerankers like RRF, weighted sum, and ColBERT. The database boasts impressive performance, achieving 0.1 milliseconds query latency and up to 15K QPS on million-scale vector datasets. It supports rich data types such as strings, numerics, and vectors. InfinityFlow is built for ease-of-use with an intuitive Python API and a single-binary architecture, eliminating dependencies and simplifying deployment. It is available for Linux, Windows (via WSL/WSL2), and MacOS.
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Open Source
Not publicly disclosed. Check infiniflow.org for current pricing.
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