Operations | Monitoring | ITSM | DevOps | Cloud

What Is Vector Search? Difference Between Vector & Semantic Search Explained [Quick Question Ep. 5]

What is vector search? In this breakdown, learn how vector search leverages machine learning to capture the meaning and context of unstructured data by transforming it into a numeric representation that is stored in a vector database. This video also explains the difference between sparse and dense embeddings, and how vector search differs from semantic search and lexical search.

Logs & Search slowing you down? Simplify and accelerate with Aiven for OpenSearch

For many growing businesses, data infrastructure grows and evolves organically. This often results in teams running one technology for log analytics, like a self-managed ELK cluster, and a completely separate technology for application search. While functional, these disparate tech stacks begin to eat into the bottom line. Businesses grapple with fragmented skill sets, inconsistent security models, multiple vendors, and a constant operational tax.

How Elastic Powers Search in Real-Time (Explained in 52 Seconds)

Ever wondered how Wikipedia loads answers instantly? Or how does your Uber update in real-time? That’s Elastic Search working behind the scenes. In this video, I break down how Elastic powers lightning-fast, scalable search for complex data from ride requests to stock prices.

What Is Semantic Intent? Interpreting User Intent in AI Search [Quick Question Ep. 4]

What is semantic intent, and why is it crucial in the age of *AI search?* In this episode of Quick Question, we break down how semantic *intent interprets* the meaning behind your query in semantic search. About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

Semantic Search Explained: Search with intent [Quick Question Ep. 3]

In this video, I’ll explain what semantic search is and how it’s different from traditional keyword search. I’ll walk you through the limitations of lexical search, what we mean by semantic intent, and how vector search plays a role under the hood. About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

How to build an advanced semantic search engine with hybrid search | Elasticsearch Coding Sessions

Get ready to say 'Hasta la vista, baby' to outdated search methods as we take a closer look at semantic search, using a data set of some all-time favorite sci-fi and horror movies! Join Ugo Sangiorgi, principal product marketing engineer, for a 20-minute coding session to learn about: Key Highlights: Resources: If you’re looking to add AI-driven search to your app, product, or website, this session is for you. Engage with us in the chat, share your thoughts, and feel free to ask questions. Let's dive into the world of hybrid search with Elasticsearch!

What Is AI Search? How It Improves Your Search Results [Quick Question Ep. 1]

In this brief episode, I explore how AI is revolutionizing the way we search. From understanding user intent to personalizing results, ranking, summarizing, and even multimodal search, AI is transforming every aspect of search relevance and performance. If you’ve ever wondered whether you really need all this context in search, the short answer is: absolutely. Watch to learn how AI search works and why it matters more than ever in the age of artificial intelligence.

Elasticsearch with Python: A Detailed Guide to Search and Analytics

If you’re using Python for search, log aggregation, or analytics, you’ve probably worked with Elasticsearch. It’s fast, scalable, and fairly complex once you go beyond the basics. The official Python client gives you raw access to Elasticsearch’s REST API. But getting it to work the way you want, especially under load, can be tricky. This blog walks through practical ways to index, query, and monitor Elasticsearch from Python code, without getting lost in the docs.

How They Handle 44 Million Searches a Day...Without Breaking! | Rightmove and Elastic

Rightmove, the UK's number one property search, and buying and selling platform has trusted Elastic for more than 11 years. Hear Andrei Nicusan, Principal Engineer at Rightmove on why Elastic has been Rightmove's number one Search and Observability solution for more than a decade. And now with the move to Elastic Cloud and Google Cloud Platform, you can find out how Rightmove are taking advantage of reductions in their infrastructure overheads too!

Get more out of Sumo Logic: five log search hacks you'll actually use

Think Sumo Logic is only for query language pros? Think again. Whether you’re deep into JSON logs or just trying to make sense of a Linux error message, these five time-saving hacks turn anyone into a log-searching ninja, no regex, no complexity, just clicks. From instantly parsing values to filtering down with a tap, these tips will help you troubleshoot faster, work smarter, and feel more confident in your observability game. You’ve got logs, now it’s time to put them to work.