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https://github.com/qdrant/landing_page.git
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v1
This commit is contained in:
Dylan Couzon
@@ -1,6 +1,6 @@
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---
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title: "Qdrant Learn Portal"
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description: "Tutorials, Courses, Articles"
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title: Qdrant Learn Portal
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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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hideTOC: true
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breadcrumb: false
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partition: learn
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@@ -8,101 +8,96 @@ feedback: false
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build:
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render: always
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cascade:
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- build:
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list: local
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publishResources: false
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render: never
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- build:
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list: local
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publishResources: false
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render: never
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content:
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# - partial: documentation/banners/banner-b
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# title: Welcome to Qdrant Learn
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# description: Learn Portal
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# image:
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# src: /img/dev-portal-cloud/dev-portal-cloud-hero.png
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# alt: Qdrant Course
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# startedButton:
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# text: Start Learning
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# url: /courses/essentials
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- partial: documentation/sections/cards-section
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title: Learn
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description: Master vector search with Qdrant through comprehensive documentation, structured courses, and hands-on tutorials.
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cardsPartial: documentation/cards/docs-cards
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cards:
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- id: 1
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image:
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src: /img/dev-portal-learn/articles.png
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alt: Articles
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title: Articles
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description: In-depth technical documentation covering vector search concepts, system architecture, and advanced techniques.
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list:
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title: "Featured articles:"
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elements:
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- Data Exploration with Qdrant's Distance Matrix API
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- Why Vector Search Needs a Dedicated Database
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- Semantic Search As You Type
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link:
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url: /articles/
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text: Browse Articles
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- id: 2
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image:
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src: /img/dev-portal-learn/courses.png
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alt: Courses
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title: Courses
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description: Structured learning paths with progressive difficulty levels, from beginner fundamentals to advanced implementations.
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list:
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title: "Available topics:"
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elements:
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- "Beginner: Vector search basics"
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- "Intermediate: Advanced querying"
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- "Advanced: Production optimization"
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link:
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url: /course/
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text: View Courses
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- id: 3
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image:
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src: /img/dev-portal-learn/tutorials.png
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alt: Tutorials
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title: Tutorials
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description: Step-by-step guides and video content for hands-on learning with practical examples and real-world applications.
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list:
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title: "Tutorial categories:"
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elements:
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- "Search Engineering"
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- "Operations and Scale"
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- "Develop and Implement"
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link:
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url: /documentation/tutorials-lp-overview/
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text: Explore Tutorials
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- partial: documentation/sections/cards-section
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title: Quickstart
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description:
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cardsPartial: documentation/cards/docs-cards
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cardsPerRow: 2
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cards:
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- id: 1
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icon:
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src: /icons/outline/rocket-blue.svg
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alt: Rocket icon
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title: New to Vector Search?
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description: Start with our beginner-friendly exercises on vector embeddings and basic concepts.
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link:
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text: Start Learning
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url: /documentation/tutorials-basics/
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- id: 2
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icon:
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src: /icons/outline/hacker-purple.svg
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alt: Hacker icon
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title: Ready to Build?
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description: Build out practical projects using our example prototypes and integration guides.
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link:
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text: View Examples
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url: /documentation/examples/
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- partial: documentation/banners/banner-a
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title: Grow as a Search Engineer
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description: Make better search decisions, adapt a working example, or understand how Qdrant works beneath the API.
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linkDescription: Choose the resource that answers your question today.
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cloudButton:
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text: Explore Practical Guides
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url: /documentation/guides/
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localButton:
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text: Start with Qdrant Essentials
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url: /course/essentials/
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- partial: documentation/sections/cards-section
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title: Choose How to Learn
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description: Each resource serves a different purpose. Start with the one that fits your task.
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cardsPartial: documentation/cards/docs-cards
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cardsPerRow: 2
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cards:
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- title: Guides
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description: Evaluate search quality, choose embedding models, and plan how your Qdrant application grows.
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link:
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url: /documentation/guides/
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text: Find Practical Guidance
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image:
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src: /img/dev-portal-learn/articles.png
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alt: ''
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- title: Tutorials & Examples
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description: Open working code and walkthroughs, then adapt the implementation to your data and application stack.
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link:
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url: /learn/examples/
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text: Browse Tutorials & Examples
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image:
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src: /img/dev-portal-learn/tutorials.png
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alt: ''
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- title: Courses
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description: Build your understanding through structured lessons and exercises, starting with Qdrant Essentials.
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link:
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url: /course/
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text: Explore Courses
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image:
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src: /img/dev-portal-learn/courses.png
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alt: ''
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- title: Articles
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description: Examine retrieval experiments and the mechanisms behind Qdrant indexing, storage, and search.
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link:
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url: /articles/
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text: Explore Articles
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image:
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src: /img/dev-portal-learn/articles.png
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alt: ''
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- partial: documentation/sections/cards-section
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title: Start with Your Task
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description: Take a direct path to a common search engineering task.
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cardsPartial: documentation/cards/docs-cards
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cardsPerRow: 2
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cards:
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- title: Build Your First Search
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description: Start with a small semantic search application and adapt it to your own data.
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link:
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url: /documentation/tutorials-basics/search-beginners/
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text: Open the Example
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- title: Evaluate Search Quality
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description: Choose an evaluation baseline before changing embeddings, retrieval, or ranking.
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link:
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url: /documentation/search-quality/
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text: Explore Search Evaluation
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- title: Prepare for Production
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description: Plan tenant growth and large imports around the workload you need to serve.
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link:
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url: /documentation/production-patterns/
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text: Explore Production & Performance
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- title: Design and Tune Search
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description: Choose embeddings and retrieval strategies, then follow the tuning series to test improvements.
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link:
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url: /documentation/search-tuning/
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text: Explore Search Design & Tuning
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---
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# Learn
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- **[Articles](/articles/index.md)**: Long-form technical pieces covering vector search concepts, system architecture, RAG pipelines, quantization, hybrid retrieval, and Qdrant internals.
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- **[Courses](/course/index.md)**: Structured, self-paced learning paths through Qdrant Academy. Two courses are currently available: *Qdrant Essentials* (9–12 hours) and *Multi-Vector Search* (4–6 hours), with beginner, intermediate, and advanced courses planned. Free, with certification.
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- **[Tutorials](/documentation/tutorials-lp-overview/index.md)**: Step-by-step guides organized into five categories: Basic, Search Engineering, Operations & Scale, Develop & Implement, and Migrate to Qdrant.
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Choose Guides for practical decisions, Tutorials & Examples for an implementation, Courses for structured study, or Articles for new evidence and engine mechanisms.
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## Read More
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- [Guides](/documentation/guides/)
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- [Tutorials & Examples](/learn/examples/)
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- [Courses](/course/)
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- [Articles](/articles/)
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Start with the resource that answers your current question.
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@@ -0,0 +1,25 @@
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---
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title: Tutorials & Examples
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layout: examples
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description: Find Qdrant tutorials and examples by goal and stack. Open working code for search, RAG, filtering, and operations, then follow the steps relevant to your application.
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short_description: Find tutorials and examples by goal and stack, open the available notebooks, and adapt the implementation to your search application.
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partition: learn
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weight: 310
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hideTOC: true
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breadcrumb: false
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feedback: false
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build:
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render: always
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content:
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- partial: documentation/banners/banner-a
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title: Find a Tutorial or Example
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description: Search, RAG, recommendations, and operations, with code and walkthroughs you can adapt.
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linkDescription: Choose your goal and stack, then open the example or its available notebook.
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cloudButton:
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text: Build Your First Search
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url: /documentation/tutorials-basics/search-beginners/
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localButton:
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text: Browse Tutorials & Examples
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url: '#example-library'
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- partial: documentation/examples/catalog
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---
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