ZeroEntropy is an AI company focused on information retrieval, providing intelligent semantic search solutions based on re-ranking models, embedding models, and end-to-end APIs, aimed at helping developers build more efficient AI applications.
Key products include re-ranking models (e.g., the Zerank series) to improve search result accuracy, a preview embedding model (zembed-1), and a fast-to-integrate end-to-end search API.
Developers can create API keys from the online dashboard and integrate using Python (pip install zeroentropy) or TypeScript/JavaScript packages to call the search functionality.
Two API plans are available: Starter and Pro, with different quotas for queries and token throughput. Local deployment options are also supported.
zerank-2 is a re-ranking model with instruction-following capabilities, supports multilingual mixed retrieval, and provides calibrated relevance confidence scores, suitable for optimizing retrieval in RAG-like applications.
Suitable for developers and enterprises building intelligent search engines, RAG systems, AI agents, enterprise knowledge management platforms, or conducting document analysis and automation.
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