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

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+---
+title: "MUVERA"
+description: Understand MUVERA and how it enables HNSW indexing for multi-vector search despite MaxSim asymmetry.
+weight: 4
+---
+
+{{< date >}} Module 3 {{< /date >}}
+
+# MUVERA
+
+MUVERA (Multi-Vector Retrieval with Approximation) solves a fundamental problem: MaxSim's asymmetry makes traditional indexing methods like HNSW ineffective. MUVERA enables fast approximate search for multi-vector representations.
+
+Understanding MUVERA is key to scaling multi-vector search to millions of documents.
+
+---
+
+TBD
+
+---
+
+Next, we'll learn to combine all these optimizations in multi-stage retrieval pipelines using Qdrant's Universal Query API.