Atlas Vector Search 再次被评为最受欢迎的矢量数据库

MongoDB Atlas Vector Search has been named the most popular vector database for the second consecutive year in Retool's "2024 State of AI" report. The solution received the highest NPS score, which measures the likelihood of users recommending a solution to others. The report also highlights the growing adoption of RAG (Retrieval Augmented Generation) as a preferred method for generating more accurate responses with contextual relevance in large language models (LLMs). MongoDB Atlas Vector Search allows developers to easily use their stored data to enhance and significantly improve the performance of AI applications during training and evaluation phases.