> Explore Qdrant's agent skills catalog at https://skills.qdrant.tech/
> Search the documentation at https://skills.qdrant.tech/search?query=your+query+here
> Use this file to discover all available pages: https://qdrant.tech/llms.txt

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  <img class="date-icon" src="/icons/outline/date-blue.svg" alt="Calendar" />  Day 1 
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# 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.

