Atlas Vector Search Explained in 3 minutes

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  • Опубликовано: 3 авг 2023
  • *Use the CC settings to toggle subtitles in English, Chinese (简体中文), French (Français), German (Deutsch), Italian (Italiano), Korean (한국인), Portuguese (Português), & Spanish (Español).
    Learn more → trymongodb.com/44dMMnG
    Blog post → trymongodb.com/46g7OUC
    Watch the full session → trymongodb.com/3Qk8wed
    By integrating the operational database and vector store in a single, unified, and fully managed platform - along with support integrations into large language models (LLMs) - Atlas Vector Search is a fast and easy way to build semantic search and AI-powered applications.
    View all .local NY sessions → trymongodb.com/mongodblocalnyc23
    Subscribe to our channel → mdb.link/subscribe
    #MongoDBlocalNYC2023
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Комментарии • 5

  • @MongoDB
    @MongoDB  8 месяцев назад

    Learn more → trymongodb.com/44dMMnG
    Blog post → trymongodb.com/46g7OUC
    Watch the full session → trymongodb.com/3Qk8wed

  • @rallysahil
    @rallysahil 11 месяцев назад +3

    This seems brilliant.

  • @user-tm2uq6ce4h
    @user-tm2uq6ce4h 3 месяца назад

    When will Hybrid Search be supported?

  • @ccidral
    @ccidral 14 дней назад

    "They should NEVER have access to your private data", except Atlas which does have access to it 🤔 am I right or am I missing something?