Beyond Keywords: Implementing Semantic Search in Java With Spring Data (Part 1)
Have you ever tried to search for something such as a product, a song, or a movie but couldn’t quite remember its exact name? Maybe you …
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Ricardo Mello
5,566 viewsHave you ever tried to search for something such as a product, a song, or a movie but couldn’t quite remember its exact name? Maybe you …

Artur Costa
3,188 viewsThe primary focus of this series is to show how much performance you can gain, and as a consequence, the cost you can save when using …
Arek Borucki
7,400 viewsHybrid search in MongoDB brings together two complementary search techniques: Full text search (BM25 via Atlas Search)—optimized for exact …

Justin Jenkins
5,285 viewsMongoDB makes it really easy to work with location data (sometimes called Geo Data) by simplifying how to store this type of data and …
Thibaut Gourdel
4,215 viewsWith 2025 hailed as "the year of agents" by NVIDIA CEO Jensen Huang and OpenAI CPO Kevin Weil, AI agents are increasingly of interest to …
Arek Borucki
3,183 viewsLast time, we created a vector search index in a local MongoDB Atlas cluster. Now, let’s put it to work with a real case: building an …

Otavio Santana
4,678 viewsData-driven testing (DDT) is important because it enables you to validate business behavior across various scenarios without having to …
Arek Borucki
3,581 viewsMongoDB Vector Search enables semantic queries. For example, finding support tickets with similar meanings even if they use different words. …

Arek Borucki
3,509 viewsAfter launching your local MongoDB Atlas cluster and running the show dbs command in mongosh, you’ll see only the default system databases: …

Tim Kelly
10,955 viewsRunning MongoDB in Kubernetes introduces challenges that don’t exist with stateless applications. By default, Kubernetes doesn’t understand …