mirror of
https://github.com/qdrant/landing_page.git
synced 2026-10-08 12:28:32 +02:00
ab884c16d5
* docs: Add course content for Day 3 * docs: update day 3 _index.md * made mockup more mockup * fixed image links * added video links for sparse vectors * added lost in PR dissection images * added videos/notebook * docs: update pitstop-project.md structure * docs: add global vocabulary for sparse vectors * pitstop setup added * pitstop fix * docs: update Discord link in pitstop-project.md --------- Co-authored-by: Kirstin <kirstin.taufertshoefer@qdrant.com> Co-authored-by: Evgeniya Sukhodolskaya <suxodolskaya97@gmail.com>
487 B
487 B
title, isLesson, weight
| title | isLesson | weight |
|---|---|---|
| Day 3: Hybrid Search | true | 4 |
{{< date >}} Day 3 {{< /date >}}
Hybrid Search
Combine dense and sparse signal for precision and recall.
Today’s path
- Sparse Vectors and Inverted Indexes
- Keyword‑based search demo
- Hybrid Search with Score Fusion
- Demo: Implementing a Hybrid Search System
- Project: Building a Hybrid Search Engine
You’ll build a hybrid engine and validate gains over dense‑only or sparse‑only search.