MITRE Round 2 Eval Results
MITRE does an excellent job of testing across tactics and techniques of a simulated APT and presenting the raw data for analysis. They do not score the data or provide any vendor rankings, but many organizations are accustomed to looking for a place to start analyzing the data in a way that can help inform their own evaluation process. MITRE provides a way to look at the results via their Data Analysis Tool, but we thought, what if we imported all the results into Elasticsearch and visualized them in Kibana?
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Relevance workbench
In this workbench, you can compare our Elastic Learned Sparse Encoder model (with or without RRF) and traditional textual search using
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Movie search application
Try out this live demo of a movie search application built on top of Elastic Search.
The first part is a front end application implemented using Search UI. Feel free to just play with it or clone the code and try yourself!
Observability
APM - Java
Already housing logs and system metrics in Elasticsearch? Expand to application metrics with free and open Elastic APM. See exactly where your application is spending time so you can quickly fix issues and feel good about the code you push.