Introduction This article mainly introduces how BIGO, a video live-streaming company with 400 million global users, utilizes the vector search engine Milvus for deduplication of massive short videos. With the acceleration provided by the Milvus vector search engine, BIGO’s short video product Likee can control each search within 200ms while ensuring a high recall rate. … Read more
Milvus is an open-source vector similarity search engine that supports the use of various AI models to vectorize unstructured data and provides search services for vector data. Milvus integrates widely used vector indexing libraries such as Faiss and Annoy, allowing developers to choose different indexing types for different scenarios. Using Milvus, one can develop a … Read more
Recently, Milvus released version 2.2.6, which has become increasingly stable after fixing some bugs. In fact, since upgrading to version 2.X, we have been working hard to improve and optimize, launching new features such as batch importing data from files, disk-based Approximate Nearest Neighbor (ANN) indexing algorithms, non-stop rolling upgrades, Coordinator HA (High Availability), resource … Read more