---
title: Qdrant Learn Portal
description: Grow your search engineering skills with practical Qdrant guides, working examples, structured courses, and research on retrieval and engine internals.
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content:
  - partial: documentation/banners/banner-a
    title: Grow as a Search Engineer
    description: Make better search decisions, adapt a working example, or understand how Qdrant works beneath the API.
    linkDescription: Choose the resource that answers your question today.
    cloudButton:
      text: Explore Practical Guides
      url: /documentation/guides/
    localButton:
      text: Start with Qdrant Essentials
      url: /course/essentials/
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    title: Choose How to Learn
    description: Each resource serves a different purpose. Start with the one that fits your task.
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      - title: Guides
        description: Evaluate search quality, choose embedding models, and plan how your Qdrant application grows.
        link:
          url: /documentation/guides/
          text: Find Practical Guidance
        image:
          src: /img/dev-portal-learn/articles.png
          alt: ""
      - title: Tutorials & Examples
        description: Open working code and walkthroughs, then adapt the implementation to your data and application stack.
        link:
          url: /learn/examples/
          text: Browse Tutorials & Examples
        image:
          src: /img/dev-portal-learn/tutorials.png
          alt: ""
      - title: Courses
        description: Build your understanding through structured lessons and exercises, starting with Qdrant Essentials.
        link:
          url: /course/
          text: Explore Courses
        image:
          src: /img/dev-portal-learn/courses.png
          alt: ""
      - title: Articles
        description: Explore vector search concepts, retrieval research, and the mechanisms behind Qdrant indexing, storage, and search.
        link:
          url: /articles/
          text: Explore Articles
        image:
          src: /img/dev-portal-learn/articles.png
          alt: ""
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    title: Start with Your Task
    description: Take a direct path to a common search engineering task.
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      - title: Build Your First Search
        description: Start with a small semantic search application and adapt it to your own data.
        link:
          url: /documentation/tutorials-basics/search-beginners/
          text: Open the Example
      - title: Evaluate Search Quality
        description: Choose an evaluation baseline before changing embeddings, retrieval, or ranking.
        link:
          url: /documentation/search-quality/
          text: Explore Search Evaluation
      - title: Prepare for Production
        description: Plan tenant growth and large imports around the workload you need to serve.
        link:
          url: /documentation/production-patterns/
          text: Explore Production & Performance
      - title: Choose Search Patterns
        description: Choose embedding models, plan query decomposition, and filter results for your application.
        link:
          url: /documentation/search-patterns/
          text: Explore Search Patterns
      - title: Tune Search Results
        description: Follow the retrieval tuning series to test candidate depth, fusion, reranking, and memory choices.
        link:
          url: /documentation/search-tuning/
          text: Explore Search Tuning
---

# Learn

Choose Guides for practical decisions, Tutorials & Examples for an implementation, Courses for structured study, or Articles for concepts, research, and engine mechanisms.

## Read More

- [Guides](/documentation/guides/)
- [Tutorials & Examples](/learn/examples/)
- [Courses](/course/)
- [Articles](/articles/)

Start with the resource that answers your current question.