landing_page/qdrant-landing/content/course/essentials/day-3/_index.md

title, short_description, description, isLesson, weight

title	short_description	description	isLesson	weight
Day 3: Hybrid Search	Day 3 of Qdrant Essentials: sparse vectors, inverted indexes, BM25, hybrid search, and score fusion with the Universal Query API.	Learn how to combine dense and sparse vector search in Qdrant. Master hybrid search, score fusion, and keyword indexing to boost retrieval precision and recall.	true	40

{{< date >}} Day 3 {{< /date >}}

Hybrid Search

Combine dense and sparse signal for precision and recall.

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Today’s path

1. Sparse Vectors and Inverted Indexes
2. Keyword‑based search demo
3. Hybrid Search with Score Fusion
4. Demo: Implementing a Hybrid Search System
5. Project: Building a Hybrid Search Engine

You’ll build a hybrid engine and validate gains over dense‑only or sparse‑only search.