docs: Add course content for Day 0 (#1929)

* docs: Add course content for Day 0

* added static

* added videos and removed video template files

* wording

* added youtube links

* added deliverable

* checked code

* added images

* added image links

* fixed image

* linebreak under video

* started working on day 1

* updated pitstop structure

* pitstop Reflect on Your Findings

* pitstop fix

* removed filtering from build-simple-vector-search and used create_payload_index instead of unindexed_filtering_retrieve in pitstop

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Co-authored-by: Kirstin <kirstin.taufertshoefer@qdrant.com>
This commit is contained in:
Kirstin
2025-10-22 13:18:32 +02:00
committed by GitHub
co-authored by Kirstin
parent 90797d1e91
commit c51f76880d
9 changed files with 545 additions and 22 deletions
@@ -1,13 +1,22 @@
---
title: Day 0
title: "Day 0: Setup and First Steps"
isLesson: true
weight: 1
---
{{< date >}} Day 0 {{< /date >}}
# Setup, Orientation & “Hello Qdrant!”
# Setup and First Steps
Welcome to Day 0! Today we’ll lay the foundation for everything in the course. Let’s get started with setting up your environment, and creating your first collection. By the end of this, you’ll have your first similarity search running! In total, the three videos are about 20 minutes total.
Get started with Qdrant by setting up your environment and building your first vector search application.
---
## Today’s path
1. Qdrant Cloud Setup
2. Implementing a Basic Vector Search
3. Project: Building Your First Vector Search System
By the end, you’ll have a working Qdrant setup and a complete first search running.
## Video 01: Course Overview