文章摘要
OpenSearch 3.0 introduces significant performance enhancements and new capabilities across its search and analytics engine.
- The release demonstrates notable query throughput improvements, with some benchmarks showing 46% to 66% increases and significantly reduced P99 latency.
- Key architectural upgrades include a move to Lucene 9 and the introduction of concurrent segment merges, contributing to optimized indexing and search operations.
- OpenSearch 3.0 features robust vector search capabilities, positioning it as a critical component for AI/ML applications such as semantic search, recommendation systems, and particularly for providing context to large language models (LLMs).
- Additional improvements cover comprehensive search engine optimizations, enhanced thread pool and cache management, and overall advancements in system stability and scalability.