近日，开源向量数据库Qdrant宣布成功完成了2800万美元的A轮融资，由Spark Capital领投，Unusual Ventures和42CAP参投。Qdrant是一款高性能的开源矢量数据库，此次融资的资金将主要用于Qdrant开源向量数据库的扩展以及大规模人工智能应用。
作为一款基于内存的搜索引擎，Qdrant提供了高速、低延迟的数据访问，适用于实时推荐系统、广告投放、安全监控等多种应用场景。其开源特性使得开发者可以自由地调整和优化系统，从而更好地满足自身的业务需求。
此次获得A轮融资，将进一步推动Qdrant的发展壮大。公司计划利用这笔资金加强技术研发，提升产品的性能和稳定性；同时，也将扩大市场推广力度，吸引更多的人工智能企业和开发者使用Qdrant。
据悉，Qdrant的用户遍布全球各地，包括了一些知名企业如阿里巴巴、腾讯、百度等。未来，随着AI技术的不断发展，相信Qdrant将会在更广阔的领域发挥出更大的作用。
英语如下：
News Title: “Qdrant Secures $28M in A Round Financing to Accelerate Artificial Intelligence Development”
Keywords: Qdrant, A round financing, Artificial intelligence.
News Content: Recently, open-source vector database Qdrant announced the successful completion of its $28 million A round financing, led by Spark Capital with participation from Unusual Ventures and 42CAP. Qdrant is an open-source high-performance vector database, and the funds raised will mainly be used for expanding Qdrant’s open-source vector database and large-scale artificial intelligence applications.
As a memory-based search engine, Qdrant provides fast, low-latency data access, suitable for real-time recommendation systems, ad placement, security monitoring, and various other application scenarios. Its open-source nature allows developers to freely adjust and optimize the system to better meet their business needs.
The A-round financing obtained this time will further promote Qdrant’s development. The company plans to use this funding to strengthen technological research and development, improve product performance and stability; at the same time, it will also expand market promotion efforts, attracting more artificial intelligence companies and developers to use Qdrant.
It is reported that Qdrant’s users are located all over the world, including some well-known enterprises such as Alibaba, Tencent, Baidu, etc. In the future, with the continuous development of AI technology, Qdrant is expected to play a bigger role in broader areas.
【来源】https://www.businesswire.com/news/home/20240123678114/en/Qdrant-Raises-28M-to-Advance-Massive-Scale-AI-Applications
Views: 1