In this tutorial, you’ll see how to deploy Solr on Kubernetes. You’ll also see how to use the Solr Operator to autoscale a SolrCloud cluster based on CPU with the help of the Horizontal Pod Autoscaler. Let’s get going! 🙂
Vector search is a powerful tool in the information retrieval tool box. Using vectors alongside lexical search like BM25 is quickly becoming commonplace. But there are still a few pain points within vector search that need to be addressed. A major one is text embedding models and handling larger text input.
Modalova is an up-and-coming French ecommerce marketplace offering a curated selection of top brands like ASOS, Tommy Hilfiger, Michael Kors, and Adidas. Modalova's mission is to bring the best in men's and women's fashion on one site to simplify the online shopping experience — no more opening 35 tabs to find the right article. No more downloading 50 different apps to find the right size — it's all in one location!
If you’ve ever found yourself pondering the hidden treasures tucked away within thousands of files in Amazon S3, this is the perfect guide for you. In this blog post, we’re going to look at how you can use the Cribl Search fields feature to catalog and explore the fields in petabytes of data stored in Object Stores. In the Fields Tab within Cribl Search, all returned fields are categorized according to five different dimensions.
It’s been about 8 months since we first launched Cribl Search. For our early adopters, it’s been a game changer, and with each monthly release, we continue to innovate — expanding access to new datasets and adding new functionalities. If Crib Search is new to you, here is a quick recap. Cribl Search flips the observability data search paradigm on its head. You no longer have to collect, ingest, and index your data before you can search it.