Blog
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What in the ML is going on around here?
Going from a vanilla install of OpenSearch to having vectorized text stored in a k-NN–enabled index seemed like a quick learning exercise. On paper, it almost looked easy. Upload a model to a node designated as a ML node, load it, and start ingesting text and storing it as a vector. The amount of probing, asking, experimenting, and copying and...
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Introducing a traffic capture and replay solution for OpenSearch migrations and upgrades
We are thrilled to introduce the beta release of a live traffic capture and replay solution designed to assist users in migrating to OpenSearch. This tool equips users to capture live traffic from their source cluster and replay it, either simultaneously or offline, on a specified shadow cluster for rigorous testing and analysis. By comparing the performance and behavior of...
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Efficient filtering in OpenSearch vector engine
With the release of OpenSearch 2.9, we introduced efficient filtering, or “filter-while-search,” functionality for queries using the Facebook AI Similarity Search (Faiss) engine. This update overcomes the previous limitations of pre-filtering and post-filtering in the OpenSearch vector engine. In the OpenSearch 2.10 release, we added support for filtering using the inverted file (IVF) algorithm and further improved the overall performance...
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Introducing concurrent segment search in OpenSearch
OpenSearch is a scalable, flexible, and extensible open-source search and analytics engine. It is built on top of Apache Lucene and uses its powerful capabilities to ingest user data and serve search requests with latency in milliseconds.
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Get started with OpenSearch 2.11
OpenSearch 2.11 is now available, with exciting new capabilities for observability applications, an expanded selection of search tools, enhancements to data durability, and more, along with new experimental functionality to explore. For a complete view of what’s new in this release, see the release notes, and you can give OpenSearch Dashboards a try on OpenSearch Playground.
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