开源向量数据库Qdrant日前宣布完成2800万美元A轮融资,由Spark Capital领投,Unusual Ventures和42CAP跟投。本轮融资将用于扩展Qdrant的开源向量数据库和大规模人工智能应用。作为一款高性能开源矢量搜索引擎,Qdrant能够实现复杂的数据分析和准确的相似性搜索。它采用了先进的向量索引和并行处理技术,使企业能够从海量非结构化数据中获得价值。随着人工智能和机器学习的快速发展,Qdrant填补了此类应用对高性能向量搜索和分析的需求空白。
英文标题Title: Open Source Vector Database Qdrant Raises $28 Million in Series A Financing
英文关键词Keywords: open source database, vector search, artificial intelligence
英文新闻内容News content: Open source vector database Qdrant announced the completion of $28 million Series A financing led by Spark Capital with participation from Unusual Ventures and 42CAP. The funding will be used to expand Qdrant’s open source vector database and large-scale AI applications. As a high-performance open-source vector search engine, Qdrant enables complex data analytics and accurate similarity search. It adopts advanced vector indexing and parallel processing techniques to help enterprises extract value from massive amounts of unstructured data. With the rapid development of AI and machine learning, Qdrant fills the gap for high-performance vector search and analytics required by such applications.
【来源】https://www.businesswire.com/news/home/20240123678114/en/Qdrant-Raises-28M-to-Advance-Massive-Scale-AI-Applications
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