Update Qdrant Setup video and fix course landing order

- Swap the Qdrant Setup video in the Essentials course, and add the
  same video to Multi-Vector Search's Qdrant Setup lesson (previously
  had none)
- Add explicit weight to Essentials and Multi-Vector Search course
  sections so Essentials always sorts first in the course sidebar,
  instead of relying on date as a tiebreaker
This commit is contained in:
Manas Chopra
2026-07-27 02:30:51 +05:30
parent a7efad9b2a
commit dd025ccf69
4 changed files with 15 additions and 1 deletions
@@ -3,6 +3,7 @@ title: "Qdrant Essentials Course"
page_title: Qdrant Essentials Course page_title: Qdrant Essentials Course
short_description: "Build production vector search skills in seven days: hybrid retrieval, multivector reranking, quantization, sharding, and multitenancy." short_description: "Build production vector search skills in seven days: hybrid retrieval, multivector reranking, quantization, sharding, and multitenancy."
description: Learn hybrid search, multivectors, and production deployment in 7 days. Build and ship a docs search engine. description: Learn hybrid search, multivectors, and production deployment in 7 days. Build and ship a docs search engine.
weight: 10
content: content:
sidebarTitle: Qdrant Essentials sidebarTitle: Qdrant Essentials
menuTitle: menuTitle:
@@ -12,7 +12,7 @@ isLesson: true
<div class="video"> <div class="video">
<iframe <iframe
src="https://www.youtube.com/embed/9JBlgNBQoOY?si=7t3LAvMsUUtlUMN7&rel=0" src="https://www.youtube.com/embed/-8TpooWX8kE?rel=0"
frameborder="0" frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
referrerpolicy="strict-origin-when-cross-origin" referrerpolicy="strict-origin-when-cross-origin"
@@ -3,6 +3,7 @@ title: "Multi-Vector Search Course"
page_title: "Qdrant Multi-Vector Search Course" page_title: "Qdrant Multi-Vector Search Course"
short_description: "Master multi-vector search with ColBERT and ColPali: late interaction, MaxSim scoring, multi-stage retrieval, MUVERA indexing, and evaluation." short_description: "Master multi-vector search with ColBERT and ColPali: late interaction, MaxSim scoring, multi-stage retrieval, MUVERA indexing, and evaluation."
description: Master late interaction models, ColPali, and production optimization. Build scalable multi-vector search pipelines. description: Master late interaction models, ColPali, and production optimization. Build scalable multi-vector search pipelines.
weight: 20
content: content:
sidebarTitle: "Multi-Vector Search Course" sidebarTitle: "Multi-Vector Search Course"
menuTitle: menuTitle:
@@ -10,6 +10,18 @@ isLesson: true
# Qdrant Setup # Qdrant Setup
<div class="video">
<iframe
src="https://www.youtube.com/embed/-8TpooWX8kE?rel=0"
frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
referrerpolicy="strict-origin-when-cross-origin"
allowfullscreen>
</iframe>
</div>
<br/>
Before diving into multi-vector search, you need a running Qdrant instance. Whether you choose Qdrant Cloud for a managed solution or a local deployment, this lesson will get you up and running. Before diving into multi-vector search, you need a running Qdrant instance. Whether you choose Qdrant Cloud for a managed solution or a local deployment, this lesson will get you up and running.
Multi-vector search requires specific collection configurations that differ from traditional single-vector setups. We'll cover the essentials to prepare your environment. Multi-vector search requires specific collection configurations that differ from traditional single-vector setups. We'll cover the essentials to prepare your environment.