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Kacper Łukawski
2025-12-12 16:28:04 +01:00
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qdrant-landing/content/course/multi-vector-search/module-1/_index.md
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---
title: "Module 1: Multi-Vector Representations for Textual Data"
description: Learn about multi-vector representations for text with ColBERT. Understand how they differ from single vector embeddings and when to use them.
description: "Learn about multi-vector representations for text with ColBERT. Understand how they differ from single vector embeddings and when to use them."
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## Today's path
1. ColBERT Basics
2. Comparison to Regular Dense Embedding Models
1. Late Interaction Basics
2. MaxSim Distance Metric
3. Use Cases for Multi-Vector Search
4. MaxSim Distance Metric
4. Problems of Multi-Vector Search
You'll understand when multi-vector representations outperform traditional single-vector embeddings.
You'll understand when multi-vector representations outperform traditional single-vector embeddings, and what kind of
problems to expect when you start working with multi-vector search at scale.