The Atlas Vector Search has achieved the highest .NET Promoter Score (NPS) among search tools and is the second most used vector database, only five months after its launch. The Retool State of AI 2023 report found that developers are using vector databases to create applications with AI, particularly in search-sensitive applications such as product catalogs or content discovery. The report also revealed that less than 20% of respondents use vector databases, but the trend is expected to increase due to personalization of models and infrastructure of IA. The MongoDB Atlas Vector Search is a robust, economic, and fast solution that allows developers to store and search embeddings vectors in the same system as their operational database, avoiding additional complexity and costs. The report also provides insights into the state of AI, including the adoption and maturity of AI, the use of open-source models, and the challenges faced by developers when integrating vector databases with other systems.