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Multi-Vector Search Course
  • Qdrant Multi-Vector Certification
Qdrant Essentials Course

    Multi-Vector Search Course

    48%

    Course Overview
    Module 0: Setting Up Dependencies
      Qdrant Setup
      Installing Dependencies
    Module 1: Multi-Vector Representations for Textual Data
      Late Interaction Basics
      MaxSim Distance Metric
      Use Cases for Multi-Vector Search
      Problems of Multi-Vector Search
      Multi-Vector Embeddings in Qdrant
    Module 2: Multi-Vector Representations for Multi-Modal Data
      How ColPali Models Work
      ColPali Family Overview
      Visual Interpretability of ColPali
    Module 3: Scalability and Optimization
      Multi-Stage Retrieval with Universal Query API
      Vector Quantization Techniques
      Pooling Techniques
      MUVERA
      Evaluating Search Pipelines
      Final Project: Build Your Own Multi-Vector Search System
    Qdrant Multi-Vector Certification
    • Course
    • Multi vector search
    • Module 2: Multi-Vector Representations for Multi-Modal Data
    Calendar Module 2

    Multi-Vector Representations for Multi-Modal Data

    Extend multi-vector representations beyond text to unlock powerful multi-modal search capabilities.


    Today’s path

    1. How ColPali Models Work
    2. ColPali Family Overview
    3. Visual Interpretability of ColPali

    You’ll learn to build multi-modal search systems that understand both images and text.

    Continue to Next Step

    On this page:

    • Multi-Vector Representations for Multi-Modal Data
      • Today’s path
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