Intelligent applications start with a sophisticated search strategy. In this session, we explore how to build AI-powered search experiences using MongoDB Atlas Vector Search and Java. We cover the entire workflow, from generating embeddings to creating vector indexes within MongoDB Atlas.
You will discover effective similarity search and retrieval patterns using Spring AI for Java, enabling you to deliver more relevant results to your users. This is an essential session for any developer looking to integrate modern AI capabilities into their Java applications. Watch on-demand to master the mechanics of vector-based retrieval.
Continue learning:
- Build & Learn Workshop: MongoDB for Java Spring Builders - MongoDB Overview
- Build & Learn Workshop: MongoDB for Java Spring Builders - MongoDB CRUD Operations in Java
- Build & Learn Workshop: MongoDB for Java Spring Builders - Aggregation Framework with Java
- Build & Learn Workshop: MongoDB for Java Spring Builders - RAG with Spring AI
- Build & Learn Workshop: MongoDB for Java Spring Builders - AI Agents with Spring AI
