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Data privacy is more important than ever. As global tensions rise and digital sovereignty becomes a growing concern in the EU, organizations are increasingly rethinking where and how their data is stored. This is where MEOD comes in.

What exactly is the difference between NLP and LLMs? Are they interchangeable? And when should you use one over the other? Let’s break it down.

In this article, we will discuss certificate read permission issues and how to resolve them.

In this blog post, we’ll summarize our three-part tutorial series on how to implement vector and hybrid search using OpenSearch and its Neural Plugin.

Everyone talks about AI and Vector Search at the moment. In this article we delve into the question why lexical search still plays and continues to play a major role when it comes to search.

As more businesses move away from Elasticsearch due to licensing changes and other considerations, OpenSearch has emerged as a strong alternative. This guide provides an overview of the migration process, key strategies, and essential resources.

The release of Apache NiFi 2.0 introduces foundational architectural changes and new capabilities aligned with modern data engineering, cloud-native practices, and machine learning workflows.

Why U.S. cloud providers can't offer true data sovereignty in Europe—legal jurisdiction overrides technical solutions.

If your business relies on search or analytics, you’ve probably looked into OpenSearch and Elasticsearch. Both platforms are widely used for managing and analyzing large datasets. Let’s explore these factors in detail to help you make an informed decision.

OpenSearch has become a trusted search and analytics platform, capable of handling real-time data processing at scale. It is a popular choice across industries, from log management and security monitoring to machine learning-driven insights.