Build Semantic Search at Speed

This post details how Milvus, leveraging FAISS, can be used as a vector search engine to achieve high-performance semantic search, demonstrating its capability to handle millions of vectors and thousands of requests per second with low latency. It highlights the integration of Milvus with other systems like Solr for a complete semantic search workflow and discusses the performance implications of different index types (FLAT vs. HNSW) and scale testing results.