大数据分析

Improving ease of use in OpenSearch Dashboards with Vega visualizations

Improving ease of use in OpenSearch Dashboards with Vega visualizations When we offer users a clunky dashboard interface, we increase usability pain points and user frustration. Improving the usability of software requires a sharp focus on user experience. Moreover, a poor interface restricts customizability, a prized requirement by high-code users.…

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Top 3 scenarios in which managing multiple clusters with one OpenSearch Dashboards instance is a lifesaver

OpenSearch Dashboards, the visualization tool for your OpenSearch data, offers the multiple data sources feature. This feature enables you to consolidate and visualize data from various OpenSearch clusters within a unified dashboard. By integrating disparate sources into a single view, the multiple data sources feature streamlines data analysis workflows, eliminates…

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A deep dive into faster semantic sparse retrieval in OpenSearch 2.12

In our last blog post, we introduced neural sparse search, a new efficient method of semantic retrieval made generally available in OpenSearch 2.11. We released two sparse encoding models on OpenSearch model hub and Hugging Face model hub. Both models excel at producing relevant information compared to other sparse encoding…

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Announcing an OpenSearch and DataStax generative AI partnership

DataStax and the OpenSearch Project are announcing a series of integration efforts to support generative AI developers. Retrieval-augmented generation (RAG) is a key design pattern in generative AI. RAG applications work by assembling context from a variety of sources, which is then processed by a large language model (LLM) to…

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