Semantic Search with Milvus Lite and Voyage AI

Milvus Lite, a lightweight and in-memory version of the Milvus vector database, is now available for easy installation and integration with Voyage AI embeddings, streamlining the development of generative AI (GenAI) applications. This tool is designed to be run on various platforms such as Jupyter Notebooks, laptops, or edge devices and provides robust semantic search capabilities through Voyage’s high-performing embedding models, which excel in the Massive Text Embedding Benchmark (MTEB) leaderboards. These models, including the general-purpose voyage-large-2-instruct and the legal-specific voyage-law-2, consistently outperform commercial alternatives like OpenAI and Cohere. Milvus Lite enables seamless scaling to production environments using the same client-side code for more scalable Milvus on Kubernetes or managed Milvus on Zilliz Cloud, thus simplifying migration and saving time. A demonstration showcases how Milvus Lite and Voyage embeddings facilitate semantic search by embedding documents and queries for efficient information retrieval.