OpenSearch 2.x-3.x: New Features and Ecosystem Evolution
Explore OpenSearch versions 2.x and 3.x: vector search, performance improvements, security enhancements, and the evolving ecosystem.
OpenSearch tutorials covering basics, operations, internal architecture, vector search, and production use cases.
OpenSearch is a distributed, RESTful search and analytics engine built on Apache Lucene. Originally forked from Elasticsearch, it provides powerful full-text search, real-time analytics, and visualization capabilities.
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Explore OpenSearch versions 2.x and 3.x: vector search, performance improvements, security enhancements, and the evolving ecosystem.
Comprehensive guide to using OpenSearch for AI applications including k-NN vector search, RAG pipelines, embedding storage, hybrid search, and production best practices.
Discover OpenSearch production use cases: log analytics, application search, security analytics, business intelligence, and observability.
Deep dive into OpenSearch architecture. Understand Apache Lucene, segment-based storage, sharding, replication, and near real-time search internals.
Learn OpenSearch administration: index management, snapshots, cluster scaling, performance tuning, and security configuration.
Master OpenSearch from installation to advanced queries. Learn OpenSearch DSL, index management, mappings, and search operations with practical examples.