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  2. Machine learning

Machine learning

  • TensorFlow, PostgreSQL®, PGVector & Next.js: building a movie recommender

    Leveraging TensorFlow, PostgreSQL®, PGVector, and Next.js for vector search with this step-by-step video guide.

    • PostgreSQL®
    • Machine learning
    • Tutorial
    • Data
  • Retrieval augmented generation with OpenAI and OpenSearch®

    Use OpenSearch® as a vector database to generate responses to user queries using AI

    • AI
    • OpenSearch®
    • Machine learning
    • Tutorial
  • Find your perfect movie with ClickHouse®, vector search, Hugging Face API, and Next.js

    Get an introduction to machine learning using Aiven services and the Hugging Face API to recommend movies based on Wikipedia synopses.

    • ClickHouse®
    • Machine learning
    • Integration
    • Tutorial
  • Image recognition with Python, OpenCV, OpenAI CLIP and pgvector

    Vector embeddings are key to ML, and here we describe how to use OpenCV, OpenAI CLIP and pgvector to generate vectors and use them to perform image recognition on a corpus of photos.

    • PostgreSQL®
    • Data
    • Machine learning
    • Guide
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Copyright © Aiven 2016-2025. Apache, Apache Kafka, Kafka, Apache Flink, and Flink are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. ClickHouse is a registered trademark of ClickHouse, Inc. https://clickhouse.com. OpenSearch, AlloyDB Omni, PostgreSQL, MySQL, Grafana, Dragonfly, Valkey, Thanos, Terraform, and Kubernetes are trademarks and property of their respective owners. All product and service names used in this website are for identification purposes only and do not imply endorsement.