Semantic Search with Spring Boot: Building a Java-Powered Search Engine with Atlas Vector Search
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MongoDB $vectorSearch doc → https://mdb.link/iKwuvuTxxK0-vectorsearch
Spring Initializr → https://start.spring.io/
Written tutorial with code snippets → https://mdb.link/iKwuvuTxxK0-blog
Visit our AI Hub → https://mdb.link/ai-hub-iKwuvuTxxK0
The MongoDB Atlas Navigation has been enhanced to provide a more intuitive and streamlined experience. Discover the updates here: https://mdb.link/AtlasUpdate
Welcome to our deep dive into the world of semantic search, where we explore how it transcends traditional keyword-based search methods by understanding the intent and contextual meaning behind search queries. In this tutorial, I'll guide you through the process of integrating semantic search into your Java Spring Boot application, leveraging MongoDB's powerful $vectorSearch operator.
You'll learn:
- The basics of semantic search and how it differs from traditional search methods.
- Step-by-step guidance on setting up your Java Spring Boot environment for MongoDB integration.
- How to use MongoDB's $vectorSearch to interpret and process semantic queries.
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