Getting started with Spring AI and MongoDB: Semantic Search in Spring

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In this tutorial, you'll learn how to create a lyric semantic search application using Java, Spring AI, MongoDB Atlas, and OpenAI embeddings. We cover document storage, search functionality with semantic embeddings, and deploying the app. Perfect for those looking to build intelligent search systems using vector stores and AI.
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  1. MongoDB
  2. DA
  3. VI
  4. MongoDB Atlas
  5. Spring AI
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Комментарии
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Thanks for the tutorial, i am having issues with Vertex AI with mongodb, any suggestions for that?

navneetprabhakar
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Thanks for the tutorial, I would just like to point out that now in the mongodb doc it's disappeared the requirement about tier M10 which is shown at the beginning of this video.
Is this means that now the index can be created programmatically ?

raffaelegambelli
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Great tutorial!!
Is there a git repo with the code used in the tutorial?

massimodaros
visit shbcf.ru