MongoDB has announced the public preview of its Atlas Vector Search, which has seen significant adoption for AI-powered applications due to its ability to store, index, and query vector embeddings alongside operational data, enhancing engineering efficiency. The tool is integral to the Retrieval-Augmented Generation (RAG) pattern, which feeds Large Language Models (LLMs) with supplementary data to improve response accuracy and relevance, with LangChain being a key technology for integrating external data into LLMs. The company has partnered with LangChain to create LangChain Templates, which simplify the development of AI applications by providing deployable reference architectures and REST APIs. MongoDB is also offering an AI Innovators program to support developers with resources and credits. Concurrently, MongoDB is exploring the power of search within Operational Data Stores (ODS) to streamline complex data architectures, improve data accessibility, and enhance operational efficiency. In another significant development, MongoDB's CEO Dev Ittycheria announced his retirement effective November 2025, with Chirantan "CJ" Desai set to succeed him. Desai brings extensive experience from ServiceNow and Cloudflare, which MongoDB expects will guide its next phase of growth and capitalize on the rise of AI and data-intensive applications. Ittycheria emphasized the importance of leadership transitions and expressed confidence in MongoDB's strategic direction and future potential.