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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-3/_index.md
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title: "Module 3: Scalability and Optimization"
description: Address scalability challenges in multi-vector search. Learn optimization techniques including quantization, pooling, MUVERA, and multi-stage retrieval.
description: "Address scalability challenges in multi-vector search. Learn optimization techniques including quantization, pooling, MUVERA, and multi-stage retrieval."
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## Today's path
1. Memory Usage Implications and Solutions
2. Vector Quantization Techniques (Scalar, Binary, +1.5/2-bit)
3. Pooling Techniques (Row/Column, Hierarchical Token Pooling)
4. MUVERA for HNSW Compatibility
2. Vector Quantization Techniques
3. Pooling Techniques
4. MUVERA
5. Multi-Stage Retrieval with Universal Query API
6. Evaluating Search Pipelines (Cost vs. Latency)
6. Evaluating Search Pipelines
You'll master the optimization strategies needed to deploy multi-vector search at scale.