Building a Quarkus Application to Perform MongoDB Vector Search
This article explores building a Quarkus application using MongoDB’s vector search for smarter, context-aware search results. We’ll cover generating embeddings with Gemini AI and creating a vector index in MongoDB. Learn how to enhance your application’s search capabilities with this modern approach.
Author: Aasawari Sahasrabuddhe