landing_page/qdrant-landing/content/course/multi-vector-search/module-3/_index.md

title, description, isLesson, weight

title	description	isLesson	weight
Module 3: Scalability and Optimization	Address scalability challenges in multi-vector search. Learn optimization techniques including quantization, pooling, MUVERA, and multi-stage retrieval.	true	40

{{< date >}} Module 3 {{< /date >}}

Scalability and Optimization

Tackle the memory and performance challenges of production-scale multi-vector search.

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Today's path

1. Multi-Stage Retrieval with Universal Query API
2. Vector Quantization Techniques
3. Pooling Techniques
4. MUVERA
5. Evaluating Search Pipelines

You'll master the optimization strategies needed to deploy multi-vector search at scale. Eventually, you will utilize all the learned skills to build a real-world project implementing multi-vector search for multi-modal data.