landing_page/qdrant-landing/content/course/essentials/day-1/_index.md

title, short_description, description, isLesson, weight

title	short_description	description	isLesson	weight
Day 1: Vector Search Fundamentals	Day 1 of Qdrant Essentials: points, vectors, payloads, distance metrics, chunking strategies, and a hands-on semantic search build.	Learn vector search fundamentals in Qdrant. Explore points, payloads, and distance metrics, then apply them in a hands-on semantic movie search project.	true	20

{{< date >}} Day 1 {{< /date >}}

Vector Search Fundamentals

Today we dive straight into Qdrant’s core data model and how vectors are compared.

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Today’s path

1. Points, Vectors and Payloads
2. Distance Metrics
3. Text Chunking Strategies
4. Demo: Semantic Movie Search
5. Project: Building a Semantic Search Engine

You’ll apply these fundamentals in a focused, hands‑on build.