Introducing Milvus Lite, a lightweight vector database designed to run locally within Python applications, making it ideal for environments with limited computing resources. Unlike its predecessor, Milvus Lite focuses on compactness and efficiency, perfect for laptops, Jupyter Notebooks, and mobile devices. Integrated with various AI development stacks, it simplifies vector similarity search for unstructured data in applications like chatbots and shopping assistants. Milvus Lite is a versatile addition to the Milvus ecosystem, supporting every stage of an AI developer’s journey, from prototyping to large-scale deployments. It also promises future support for advanced features like hybrid search. Overall, Milvus Lite streamlines vector search while ensuring a consistent experience across different deployment options.
https://milvus.io/blog/introducing-milvus-lite.md