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ZeroEntropy zembed-1 Embedding

作者 ZeroEntropy

zembed-1 is the SOTA embedding model by ZeroEntropy

ZeroEntropy zembed-1 turns text into dense vector embeddings for semantic search, retrieval-augmented generation, clustering, deduplication, and ranking workflows. The Azure Marketplace deployment runs zembed-1 in your Azure environment and provides an API for generating query and document embeddings. Use it to power vector search, recommendations, document discovery, and AI retrieval pipelines.
中文(香港特別行政區)
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