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Semantic Search with Spring Boot: Building a Java-Powered Search Engine with Atlas Vector Search

42 min • Published Feb 01, 2024
MongoDB
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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 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. 📚 RESOURCES 📚 ✅ Sign-up for a free cluster at → https://mdb.link/iKwuvuTxxK0-atlas ✅ Get help on our Community Forums → https://mdb.link/iKwuvuTxxK0-community Subscribe to MongoDB YouTube→ https://mdb.link/subscribe
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