Blog
Enhanced log analysis with OpenSearch PPL: Introducing lookup, join, and subsearch
OpenSearch 3.0 introduced powerful new capabilities to the Piped Processing Language (PPL) with the addition of the lookup, join, and subsearch commands. These commands help you enrich, correlate, and filter...
Optimizing inference processors for cost efficiency and performance
Inference processors, such as text_embedding, text_image_embedding, and sparse_encoding, enable the generation of vector embeddings during document ingestion or updates. Today, these processors invoke model inference every time a document is...
Do more with less: Save up to 3x on storage with derived vector source
If you’re working with modern applications, from semantic search to recommendation systems, you’re likely implementing vector search. While you might focus on the accuracy and speed of vector similarity searches,...
Finding a replacement for JSM in OpenSearch 3.0
OpenSearch 3.0.0 introduced many innovative features that provide significant advancements in performance, data management, vector database functionality, and more. In the release announcement, we shared that OpenSearch has replaced the...
Intelligent troubleshooting using OpenSearch 3.0's plan-execute-reflect agent
OpenSearch 3.0 introduces the plan–execute–reflect agent—a powerful new capability that breaks down complex problems, selects and executes tools autonomously, and adapts through reflection. In this post, we’ll show you how...
Real-time query monitoring with live queries in OpenSearch 3.0
OpenSearch Query Insights has become an important tool for understanding search query performance, offering visibility into how queries execute and consume cluster resources. Building on our commitment to helping you...
Recipes to vectors: Building a hybrid search app with OpenSearch
Ever wondered if OpenSearch can double as a vector database? Spoiler: it absolutely can. Whether you’re building a modern search experience, exploring hybrid retrieval, or just curious about embeddings, OpenSearch...