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Qdrant
Late Interaction Basics

Late Interaction Basics

course-multi-vector-searchmodule-1qdrant-examples

Module 1: Late Interaction Basics

Define a simple query and two documents to compare how different embedding approaches represent them.

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Single-Vector Embeddings (No Interaction)

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Compute dot product similarity between the query and each document. Higher scores indicate stronger semantic matches.

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Now compare the same query against the second document.

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Cross-Encoders (Early Interaction)

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Late Interaction: The Core Paradigm

The ColBERT Approach

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