Milvus is an open-source vector database built for GenAI applications. Install with pip, perform high-speed searches, and scale to tens of billions of vectors with minimal performance loss.

Excited to unveil Milvus Lite! 🚀 This lightweight version of the popular open-source vector database, Milvus, is optimized for Jupyter notebooks, laptops, and edge devices. Milvus Lite makes it easy for developers to start locally and scale easily—just one line of code to push your project to Milvus Standalone or Zilliz Cloud for production without changing any code, thanks to our unified API. Milvus Lite is versatile, supporting a wide range of use cases reliant on similarity search—whether it's retrieval augmented generation (RAG), product recommenders, chatbots, fraud detection, or similarity searches for images, videos, or audio. Why choose Milvus Lite? - Easy Setup: Get started with a single line pip-install. Quick. Painless. - Small Footprint: Works perfectly in any local environment, from Jupyter notebooks to laptops. - Unified API: Code once, deploy anywhere. Our unified APIs ensure you write codes once and use forever. - Plug and Play: Native integration with top GenAI frameworks and tools, including HuggingFace, LlamaIndex, LangChain, OpenAI, Haystack, and more.

@chloewilliams Congrats on the launch.

congrats on the launch of milvus lite. the ease of setup combined with native integration capabilities is noteworthy. could you share insights on how your unified api addresses the challenges of adapting existing projects to new or evolving genai tools?

Really excited to use Milvus Lite as a part of our LLMWare library - It will make it very easy for our users to get started with RAG quickly and locally! Great work Milvus!