In this article we are explain how to discover how concepts are related using Elasticsearch adjacency matrix aggregation. If we are working with a lot of data, knowing how some topics are linked could be tricky, so let’s try to simplify it. Adjacency matrix aggregation A bucket aggregation returning a form of adjacency…

In this article we are explaining how to extract entities, such as organizations, people or places, from text using Elasticsearch and OpenNLP. Motivation When we are working with too much information, providing a great search experience could be challenging, so we should use some sophisticated techniques. Let’s image you want to…

In this article we are explaining how to detect similar organizations using Elasticsearch with “More Like This Query”. Motivation Let’s assume that we already have a dataset of organizations. Once we detect one of our competitors, we would like to know what organizations are similar to this one without digging into…

In this article we are explaining how to balance the size of your indices in Elasticsearch using rollover and Index Lifecycle Management (ILM) in order to be automatically executed. Use cases There are multiple use cases where we could make the most of rollover but 2 of them could be: Support Hot-Warm-Cold…

In this article we are explaining how to enrich your leads with some extra information using Elasticsearch. Motivation If you have a business and a platform where you get leads, from a trial account or just from a lead magnet, you may get a lot of contacts. …

In this article we are explaining how to find trending topics in news articles using Elasticsearch, specifically using significant terms. There are too much information out there and digesting it is overwhelming. …

In this article we are explaining how to analyze, explore and visualize your LinkedIn network with Elasticsearch, Kibana and Python. Context If you are working on expand your connections on LinkedIn and want to monitor how well it is going or just analyze the segments of people in your network, this…

In this article we are explaining how to rank some specific documents higher than those matching a given query. Basically, we modify the position of a document in the original ranking. There are multiple use cases that we could make the most of it. Some use cases Promote off-season products on e-commerce. Promote…

In this article we are explaining how to notify an user of a new document related to an interesting topic. The information that we have out there is overwhelming, and if we want to track every step about the technologies that matter to us or our users it is too…