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Vector databases are specifically designed to store and retrieve data efficiently, resulting in accelerated processing times. These databases can seamlessly scale up or down based on the user’s requirements, making them capable of efficiently managing massive volumes of data without compromising performance. Vector databases also enable precise similarity matching for applications such as voice and image recognition, and enhance search capabilities through the utilisation of advanced search algorithms. MongoDB’s Atlas Vector Search is a popular vector database option for LLMs.