Merge pull request #2059 from qdrant/tutorials-restructure

Tutorials Restructuring
2026-10-02 01:18:30 +02:00 · 2026-01-30 08:36:30 -08:00
parent f2dfd229e6 5857fdd780
commit 2c1a0c90aa
63 changed files with 520 additions and 109 deletions
@@ -1,19 +0,0 @@
---
-title: Advanced Retrieval
-weight: 17
-# If the index.md file is empty, the link to the section will be hidden from the sidebar
-is_empty: false
-aliases:
-  - how-to
-  - tutorials
-partition: qdrant
---
-
-# Advanced Tutorials 
-
-|                                     | 
-|----------------------------------------------------------|
-| [Use Collaborative Filtering to Build a Movie Recommendation System with Qdrant](/documentation/advanced-tutorials/collaborative-filtering/)      | 
-| [Build a Text/Image Multimodal Search System with Qdrant and FastEmbed](/documentation/advanced-tutorials/multimodal-search-fastembed/)        | 
-| [Navigate Your Codebase with Semantic Search and Qdrant](/documentation/advanced-tutorials/code-search/)                     | 
-| [Ensure optimal large-scale PDF Retrieval with Qdrant and ColPali/ColQwen](/documentation/advanced-tutorials/pdf-retrieval-at-scale/)                     | 
@@ -1,20 +0,0 @@
---
-title: Vector Search Basics
-aliases:
-  - /documentation/tutorials/
-  - how-to
-  - tutorials
-weight: 16
-# If the index.md file is empty, the link to the section will be hidden from the sidebar
-is_empty: false
-partition: qdrant
---
-
-# Beginner Tutorials 
-
-|                                 | 
-|----------------------------------------------------|
-| [Build Your First Semantic Search Engine in 5 Minutes](/documentation/beginner-tutorials/search-beginners/) | 
-| [Build a Neural Search Service with Sentence Transformers and Qdrant](/documentation/beginner-tutorials/neural-search/)             | 
-| [Build a Hybrid Search Service with FastEmbed and Qdrant](/documentation/beginner-tutorials/hybrid-search-fastembed/) | 
-| [Measure and Improve Retrieval Quality in Semantic Search](/documentation/beginner-tutorials/retrieval-quality/)    |
@@ -1,6 +1,6 @@
 ---
 title: Data Management
-weight: 18
+weight: 11
 partition: build
 ---

@@ -1,22 +0,0 @@
---
-title: Using the Database
-weight: 18
-# If the index.md file is empty, the link to the section will be hidden from the sidebar
-is_empty: false
-aliases:
-  - how-to
-  - tutorials
-partition: qdrant
---
-
-# Database Tutorials 
-
-|                 | 
-|--------------------------------------------|
-| [Bulk Upload Vectors to a Qdrant Collection](/documentation/database-tutorials/bulk-upload/)        | 
-| [Large Scale Search](/documentation/database-tutorials/large-scale-search/)        |
-| [Backup and Restore Qdrant Collections Using Snapshots](/documentation/database-tutorials/create-snapshot/) |
-| [Load and Search Hugging Face Datasets with Qdrant](/documentation/database-tutorials/huggingface-datasets/)                       | 
-| [Using Qdrant’s Async API for Efficient Python Applications](/documentation/database-tutorials/async-api/)            | 
-| [Qdrant Migration Guide](/documentation/database-tutorials/migration/)            | 
-| [Static Embeddings. Should you pay attention?](/documentation/database-tutorials/static-embeddings/)            | 
@@ -1,6 +1,6 @@
 ---
 title: Practice Datasets
-weight: 29
+weight: 28
 partition: build
 ---

@@ -1,11 +0,0 @@
---
-#Delimiter files are used to separate the list of documentation pages into sections.
-title: "Essentials"
-type: delimiter
-weight: 1 # Change this weight to change order of sections
-sitemapExclude: True
-_build:
-  publishResources: false
-  render: never
-partition: build
---
@@ -1,8 +1,8 @@
 ---
 #Delimiter files are used to separate the list of documentation pages into sections.
-title: "Examples"
+title: "Integration Guides"
 type: delimiter
-weight: 24 # Change this weight to change order of sections
+weight: 20 # Change this weight to change order of sections
 partition: build
 sitemapExclude: True
 _build:
@@ -2,7 +2,7 @@
 #Delimiter files are used to separate the list of documentation pages into sections.
 title: "Integrations"
 type: delimiter
-weight: 17 # Change this weight to change order of sections
+weight: 10 # Change this weight to change order of sections
 sitemapExclude: True
 _build:
  publishResources: false
@@ -1,6 +1,6 @@
 ---
 title: Embeddings
-weight: 19
+weight: 12
 partition: build
 ---

@@ -1,11 +1,15 @@
 ---
 title: Build Prototypes
-weight: 26
+weight: 25
 partition: build 
 ---
-# Examples
+# Build Prototypes

-| End-to-End Code Samples                                                                   | Description                                                       | Stack                                       |   
+## End-to-End Code Samples
+
+The following guided samples help you get started with real-world projects using Qdrant and other ecosystem tools.
+
+| Guided Sample                                                                  | Description                                                       | Stack                                       |   
 |---------------------------------------------------------------------------------|-------------------------------------------------------------------|---------------------------------------------|
 | [Multitenancy with LlamaIndex](/documentation/examples/llama-index-multitenancy/)          | Handle data coming from multiple users in LlamaIndex.             | Qdrant, Python, LlamaIndex                  |
 | [Implement custom connector for Cohere RAG](/documentation/examples/cohere-rag-connector/) | Bring data stored in Qdrant to Cohere RAG                         | Qdrant, Cohere, FastAPI                     |
@@ -22,7 +26,7 @@ partition: build



-## Notebooks
+## Example Notebooks

 Our Notebooks offer complex instructions that are supported with a throrough explanation. Follow along by trying out the code and get the most out of each example.

@@ -1,6 +1,6 @@
 ---
 title: Frameworks 
-weight: 20
+weight: 13
 partition: build
 aliases: ["/documentation/frameworks/memgpt/"]
 ---
@@ -1,6 +1,6 @@
 ---
 title: Observability
-weight: 22
+weight: 14
 partition: build
 ---

@@ -1,6 +1,6 @@
 ---
 title: Platforms
-weight: 23
+weight: 15
 partition: build
 ---

@@ -1,6 +1,6 @@
 ---
 title: Search Enhancement
-weight: 24
+weight: 27
 # If the index.md file `is_empty`, the sidebar will display the first child link as the main entry
 is_empty: true
 build:
@@ -2,6 +2,7 @@
 title: Send Data to Qdrant
 weight: 25
 partition: build
+hideInSidebar: true
 ---

 ## How to Send Your Data to a Qdrant Cluster
@@ -1,6 +1,7 @@
 ---
 title: How to Setup Seamless Data Streaming with Kafka and Qdrant
 weight: 49
+hideInSidebar: true
 aliases:
  - /examples/data-streaming-kafka-qdrant/
 ---
@@ -1,6 +1,7 @@
 ---
 title: Qdrant on Databricks
 weight: 36
+hideInSidebar: true
 aliases:
  - /documentation/examples/databricks/
 ---
@@ -1,6 +1,7 @@
 ---
 title: Semantic Querying with Airflow and Astronomer
 weight: 36
+hideInSidebar: true
 aliases:
  - /documentation/examples/qdrant-airflow-astronomer/
 ---
@@ -5,8 +5,7 @@ partition: cloud
 ---
 ## Cloud Tutorials & Examples

-| Example                         | Description                                                                                 |
-| ----------------------------------- | ------------------------------------------------------------------------------------------- |
-| [Using Cloud Inference to Build Hybrid Search](/documentation/tutorials-and-examples/cloud-inference-hybrid-search/)                 | Cloud inference hybrid example     |
-
-
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [Qdrant Cloud Prometheus Monitoring](/documentation/tutorials-and-examples/managed-cloud-prometheus/) | Observability with Prometheus and Grafana. | <span class="pill">Prometheus</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Self-Hosted Prometheus Monitoring](/documentation/tutorials-and-examples/hybrid-cloud-prometheus/) | Observability for hybrid/private cloud setups. | <span class="pill">Prometheus</span> | 30m | <span class="text-yellow">Intermediate</span> |
@@ -1,5 +1,6 @@
 ---
 title: Using Cloud Inference to Build Hybrid Search
+hideInSidebar: true
 weight: 35
 ---
 # Using Cloud Inference with Qdrant for Vector Search
@@ -0,0 +1,19 @@
+---
+title: Basics
+weight: 31
+is_empty: true
+hideInSidebar: true
+aliases:
+  - how-to
+  - tutorials
+partition: qdrant
+---
+
+# Basic Tutorials
+*Get up and running with Qdrant in minutes.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [Local Qdrant Setup](/documentation/quickstart/) | Basic CRUD operations and local deployment. | <span class="pill">Python</span> | 10m | <span class="text-green">Beginner</span> |
+| [5-Minute Semantic Search](/documentation/tutorials-basics/search-beginners/) | Build a search engine for science fiction books. | <span class="pill">Python</span> | 5m | <span class="text-green">Beginner</span> |
+| [5-Minute RAG with DeepSeek](/documentation/tutorials-basics/rag-deepseek/) | Build a RAG pipeline with DeepSeek enrichment. | <span class="pill">Python</span> | 5m | <span class="text-green">Beginner</span> |
@@ -2,6 +2,7 @@
 title: Load a HuggingFace Dataset
 aliases:
  - /documentation/tutorials/huggingface-datasets/
+  - /documentation/database-tutorials/huggingface-datasets/
 weight: 3
 ---

@@ -4,6 +4,7 @@ weight: 1
 aliases:
  - /documentation/tutorials/mighty.md/
  - /documentation/tutorials/search-beginners/
+  - /documentation/beginner-tutorials/search-beginners/
 ---

 # Build Your First Semantic Search Engine in 5 Minutes
@@ -0,0 +1,23 @@
+---
+title: Essential Examples
+weight: 21
+partition: build 
+---
+# Essential Examples
+
+*Step-by-step guides for connecting Qdrant to the broader AI ecosystem and data stacks.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [5-Minute RAG with DeepSeek](/documentation/tutorials-build-essentials/rag-deepseek/) | Build a RAG pipeline with DeepSeek enrichment. | <span class="pill">Python</span> | 5m | <span class="text-green">Beginner</span> |
+| [Discord RAG Bot](/documentation/tutorials-build-essentials/agentic-rag-camelai-discord/) | Develop a functional bot with CAMEL-AI. | <span class="pill">OpenAI</span> | 45m | <span class="text-yellow">Intermediate</span> |
+| [Agentic RAG with CrewAI](/documentation/tutorials-build-essentials/agentic-rag-crewai-zoom/) | Step-by-step multi-agent RAG system. | <span class="pill">CrewAI</span> | 45m | <span class="text-green">Beginner</span> |
+| [n8n Workflow Automation](/documentation/tutorials-build-essentials/qdrant-n8n/) | Combine Qdrant with low-code n8n workflows. | <span class="pill">n8n</span> | 45m | <span class="text-yellow">Intermediate</span> |
+
+
+
+<!-- KEEP BELOW FOR REFERENCE -->
+
+<!-- | [Multimodal & Multilingual RAG](/documentation/tutorials-build-essentials/multimodal-search/) | Search across image and text modalities. | <span class="pill">LlamaIndex</span> | 15m | <span class="text-green">Beginner</span> | -->
+<!-- | [Agentic RAG with LangGraph](/documentation/tutorials-build-essentials/agentic-rag-langgraph/) | Build AI agents to answer library documentation. | <span class="pill">LangGraph</span> | 45m | <span class="text-yellow">Intermediate</span> | -->
+<!-- | [S3 Ingestion with LangChain](/documentation/tutorials-build-essentials/data-ingestion-beginners/) | Stream data from AWS S3 to vector store. | <span class="pill">LangChain</span> | 30m | <span class="text-green">Beginner</span> | -->
@@ -1,8 +1,10 @@
 ---
 title: Agentic RAG Discord Bot with CAMEL-AI
 weight: 4
-partition: build
+#partition: build
 social_preview_image: /documentation/examples/agentic-rag-camelai-discord/social-preview.png
+aliases:
+  - /documentation/agentic-rag-camelai-discord/
 ---

 ![agentic-rag-camelai-astronaut](/documentation/examples/agentic-rag-camelai-discord/astronaut-main.png)
@@ -3,6 +3,8 @@ title: Simple Agentic RAG System
 weight: 2
 partition: build
 social_preview_image: /documentation/examples/agentic-rag-crewai-zoom/social_preview.png
+aliases:
+  - /documentation/agentic-rag-crewai-zoom/
 ---
 ![agentic-rag-crewai-zoom](/documentation/examples/agentic-rag-crewai-zoom/agentic-rag-1.png)

@@ -2,6 +2,9 @@
 title: Agentic RAG With LangGraph 
 weight: 3
 partition: build
+hideInSidebar: true
+aliases:
+  - /documentation/agentic-rag-langgraph/
 ---
 # Agentic RAG With LangGraph and Qdrant

@@ -2,7 +2,10 @@
 title: Data Ingestion for Beginners
 weight: 2
 partition: build
+hideInSidebar: true
 social_preview_image: /documentation/examples/data-ingestion-beginners/social_preview.png
+aliases:
+  - /documentation/data-ingestion-beginners/
 ---
 ![data-ingestion-beginners-7](/documentation/examples/data-ingestion-beginners/data-ingestion-7.png)

@@ -1,11 +1,13 @@
 ---
 title: Multilingual & Multimodal RAG with LlamaIndex
 weight: 5
+hideInSidebar: true
 partition: build
 social_preview_image: /documentation/examples/multimodal-search/social_preview.png
 aliases:
  - /documentation/tutorials/multimodal-search-fastembed/
  - /documentation/advanced-tutorials/multimodal-search-fastembed/
+  - /documentation/multimodal-search/
 ---

 # Multilingual & Multimodal Search with LlamaIndex
@@ -1,10 +1,11 @@
 ---
 title: Automating Processes with Qdrant and n8n
 weight: 7
-partition: build
+#partition: build
 social_preview_image: /documentation/examples/qdrant-n8n-2/preview/social_preview.png
 aliases:
  - /blog/qdrant-n8n-beyond-simple-similarity-search/
+  - /documentation/qdrant-n8n/

 ---

@@ -3,6 +3,8 @@ title: 5 Minute RAG with Qdrant and DeepSeek
 weight: 6
 partition: build
 social_preview_image: /documentation/examples/rag-deepseek/social_preview.png
+aliases:
+    - /documentation/rag-deepseek/
 ---

 ![deepseek-rag-qdrant](/documentation/examples/rag-deepseek/deepseek.png)
@@ -0,0 +1,15 @@
+---
+title: Develop & Implement
+weight: 35
+is_empty: true
+hideInSidebar: true
+partition: qdrant
+---
+
+# Develop & Implement Tutorials
+*Core tools and APIs for building with Qdrant.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [Bulk Data Uploads](/documentation/tutorials-develop/bulk-upload/) | High-scale ingestion tricks for power users. | <span class="pill">Python</span> | 20m | <span class="text-yellow">Intermediate</span> |
+| [Python Async API](/documentation/tutorials-develop/async-api/) | Use Asynchronous programming for efficiency. | <span class="pill">Python</span> | 25m | <span class="text-yellow">Intermediate</span> |
@@ -2,6 +2,7 @@
 title: Build With Async API
 aliases:
  - /documentation/tutorials/async-api/
+  - /documentation/database-tutorials/async-api/
 weight: 4
 ---

@@ -2,6 +2,7 @@
 title: Bulk Upload Vectors
 aliases:
  - /documentation/tutorials/bulk-upload/
+  - /documentation/database-tutorials/bulk-upload/
 weight: 1
 ---

@@ -0,0 +1,17 @@
+---
+title: Integration Tutorials
+weight: 36
+is_empty: true
+hideInSidebar: true
+aliases:
+  - how-to
+  - tutorials
+partition: build
+---
+<!-- Migrate Integration Tutorials here, gradually -->
+
+# Ecosystem & Integrations
+*Connect Qdrant to cloud providers, data streams, and ETL tools.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
@@ -0,0 +1,17 @@
+---
+title: Basics
+weight: 17
+is_empty: false
+aliases:
+  - how-to
+  - tutorials
+partition: qdrant
+---
+
+### Basic Tutorials
+*Get up and running with Qdrant in minutes.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [Qdrant Local Quickstart](/documentation/quickstart/) | Basic CRUD operations and local deployment. | <span class="pill">Python</span> | 10m | <span class="text-green">Beginner</span> |
+| [Semantic Search 101](/documentation/tutorials-basics/search-beginners/) | Build a search engine for science fiction books. | <span class="pill">Python</span> | 5m | <span class="text-green">Beginner</span> |
@@ -0,0 +1,14 @@
+---
+title: Develop & Implement
+weight: 21
+is_empty: false
+partition: qdrant
+---
+
+### Develop & Implement Tutorials
+*Core tools and APIs for building with Qdrant.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [Bulk Operations](/documentation/tutorials-develop/bulk-upload/) | High-scale ingestion approaches. | <span class="pill">Python</span> | 20m | <span class="text-yellow">Intermediate</span> |
+| [Async API](/documentation/tutorials-develop/async-api/) | Use Asynchronous programming for efficiency. | <span class="pill">Python</span> | 25m | <span class="text-yellow">Intermediate</span> |
@@ -0,0 +1,20 @@
+---
+title: Operations & Scale
+weight: 20
+is_empty: false
+aliases:
+  - how-to
+  - tutorials
+partition: qdrant
+---
+
+### Operations & Scale Tutorials
+*Production-grade management, monitoring, and high-volume optimization.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [Snapshots](/documentation/tutorials-operations/create-snapshot/) | Create and restore collection snapshots. | <span class="pill">Python</span> | 20m | <span class="text-green">Beginner</span> |
+| [Data Migration](/documentation/tutorials-operations/migration/) | Move embeddings to Qdrant. | <span class="pill">CLI</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Qdrant Cloud Prometheus Monitoring](/documentation/tutorials-and-examples/managed-cloud-prometheus/) | Observability with Prometheus and Grafana. | <span class="pill">Prometheus</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Self-Hosted Prometheus Monitoring](/documentation/tutorials-and-examples/hybrid-cloud-prometheus/) | Observability for hybrid/private cloud setups. | <span class="pill">Prometheus</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Large-Scale Search](/documentation/tutorials-operations/large-scale-search/) | Cost-efficient search for LAION-400M datasets. | <span class="pill">None</span> | 2d | <span class="text-red">Advanced</span> |
@@ -0,0 +1,143 @@
+---
+title: Overview
+weight: 16
+is_empty: false
+aliases:
+  - how-to
+  - tutorials
+partition: qdrant
+---
+
+# Qdrant Tutorial Repository
+
+### Basic Tutorials
+*Get up and running with Qdrant in minutes.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [Qdrant Local Quickstart](/documentation/quickstart/) | Basic CRUD operations and local deployment. | <span class="pill">Python</span> | 10m | <span class="text-green">Beginner</span> |
+| [Semantic Search 101](/documentation/tutorials-basics/search-beginners/) | Build a search engine for science fiction books. | <span class="pill">Python</span> | 5m | <span class="text-green">Beginner</span> |
+
+---
+
+### Search Engineering Tutorials
+*Master vector search modalities, reranking, and retrieval quality.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [Semantic Search Intro](/documentation/tutorials-search-engineering/neural-search/) | Deploy a search service for company descriptions. | <span class="pill">FastAPI</span> | 30m | <span class="text-green">Beginner</span> |
+| [Hybrid Search with FastEmbed](/documentation/tutorials-search-engineering/hybrid-search-fastembed/) | Combine dense and sparse search. | <span class="pill">FastAPI</span> | 20m | <span class="text-green">Beginner</span> |
+| [Collaborative Filtering](/documentation/tutorials-search-engineering/collaborative-filtering/) | Collaborative filtering using sparse embeddings. | <span class="pill">Python</span> | 45m | <span class="text-yellow">Intermediate</span> |
+| [Multivector Document Retrieval](/documentation/tutorials-search-engineering/pdf-retrieval-at-scale/) | PDF RAG using ColPali and embedding pooling. | <span class="pill">Python</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Retrieval Quality Evaluation](/documentation/tutorials-search-engineering/retrieval-quality/) | Measure quality and tune HNSW parameters. | <span class="pill">Python</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Hybrid Search with Reranking](/documentation/tutorials-search-engineering/reranking-hybrid-search/) | Implement late interaction and sparse reranking. | <span class="pill">Python</span> | 40m | <span class="text-yellow">Intermediate</span> |
+| [Semantic Search for Code](/documentation/tutorials-search-engineering/code-search/) | Navigate codebases using vector similarity. | <span class="pill">Python</span> | 45m | <span class="text-yellow">Intermediate</span> |
+| [Multivectors and Late Interaction](/documentation/advanced-tutorials/using-multivector-representations/) | Effective use of multivector representations. | <span class="pill">Python</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Static Embeddings](/documentation/tutorials-search-engineering/static-embeddings/) | Evaluate the utility of static embeddings. | <span class="pill">Python</span> | 20m | <span class="text-yellow">Intermediate</span> |
+
+---
+
+### Operations & Scale
+*Production-grade management, monitoring, and high-volume optimization.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [Snapshots](/documentation/tutorials-operations/create-snapshot/) | Create and restore collection snapshots. | <span class="pill">Python</span> | 20m | <span class="text-green">Beginner</span> |
+| [Data Migration](/documentation/tutorials-operations/migration/) | Move embeddings to Qdrant. | <span class="pill">CLI</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Qdrant Cloud Prometheus Monitoring](/documentation/tutorials-and-examples/managed-cloud-prometheus/) | Observability with Prometheus and Grafana. | <span class="pill">Prometheus</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Self-Hosted Prometheus Monitoring](/documentation/tutorials-and-examples/hybrid-cloud-prometheus/) | Observability for hybrid/private cloud setups. | <span class="pill">Prometheus</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Large-Scale Search](/documentation/tutorials-operations/large-scale-search/) | Cost-efficient search for LAION-400M datasets. | <span class="pill">None</span> | 2d | <span class="text-red">Advanced</span> |
+
+---
+
+### Develop & Implement
+*Core tools and APIs for building with Qdrant.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [Bulk Operations](/documentation/tutorials-develop/bulk-upload/) | High-scale ingestion approaches. | <span class="pill">Python</span> | 20m | <span class="text-yellow">Intermediate</span> |
+| [Async API](/documentation/tutorials-develop/async-api/) | Use Asynchronous programming for efficiency. | <span class="pill">Python</span> | 25m | <span class="text-yellow">Intermediate</span> |
+
+<!-- KEEP BELOW FOR REFERENCE -->
+<!-- 
+
+# Qdrant Tutorial Repository
+
+### Basic Tutorials
+*Get up and running with Qdrant in minutes.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [Qdrant Quickstart](/documentation/quickstart/) | Basic CRUD operations and local deployment. | <span class="pill">Python</span> | 10m | <span class="text-green">Beginner</span> |
+| [Semantic Search 101](/documentation/tutorials-basics/search-beginners/) | Build a search engine for science fiction books. | <span class="pill">Python</span> | 5m | <span class="text-green">Beginner</span> |
+| [5-Minute RAG with DeepSeek](/documentation/tutorials-basics/rag-deepseek/) | Build a RAG pipeline with DeepSeek enrichment. | <span class="pill">Python</span> | 5m | <span class="text-green">Beginner</span> |
+
+---
+
+### Search Engineering
+*Master vector search modalities, reranking, and retrieval quality.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [Hybrid Search with FastEmbed](/documentation/tutorials-search-engineering/hybrid-search-fastembed/) | Combine dense and sparse search for startups. | <span class="pill">FastAPI</span> | 20m | <span class="text-green">Beginner</span> |
+| [Semantic Search Basics](/documentation/tutorials-search-engineering/neural-search/) | Deploy a search service for company descriptions. | <span class="pill">FastAPI</span> | 30m | <span class="text-green">Beginner</span> |
+| [Collaborative Filtering](/documentation/tutorials-search-engineering/collaborative-filtering/) | Collaborative filtering using sparse embeddings. | <span class="pill">Python</span> | 45m | <span class="text-yellow">Intermediate</span> |
+| [Multivector Document Retrieval](/documentation/tutorials-search-engineering/pdf-retrieval-at-scale/) | PDF RAG using ColPali and embedding pooling. | <span class="pill">Python</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Retrieval Quality Evaluation](/documentation/tutorials-search-engineering/retrieval-quality/) | Measure quality and tune HNSW parameters. | <span class="pill">Python</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Reranking for Better Search](/documentation/search-precision/reranking-semantic-search/) | Use multivector representations for better ranking. | <span class="pill">Python</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Hybrid Search with Reranking](/documentation/tutorials-search-engineering/reranking-hybrid-search/) | Implement late interaction and sparse reranking. | <span class="pill">Python</span> | 40m | <span class="text-yellow">Intermediate</span> |
+| [Semantic Search for Code](/documentation/tutorials-search-engineering/code-search/) | Navigate codebases using vector similarity. | <span class="pill">Python</span> | 45m | <span class="text-yellow">Intermediate</span> |
+| [Static Embeddings](/documentation/tutorials-search-engineering/static-embeddings/) | Evaluate the renaissance of static embeddings. | <span class="pill">Python</span> | 20m | <span class="text-yellow">Intermediate</span> |
+
+---
+
+### RAG & AI Agents
+*Build intelligent agents and complex LLM-driven applications.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [Multimodal & Multilingual RAG](/documentation/multimodal-search/) | Search across image and text modalities. | <span class="pill">LlamaIndex</span> | 15m | <span class="text-green">Beginner</span> |
+| [Agentic RAG with CrewAI](/documentation/agentic-rag-crewai-zoom/) | Step-by-step multi-agent RAG system. | <span class="pill">CrewAI</span> | 45m | <span class="text-green">Beginner</span> |
+| [Agentic RAG with LangGraph](/documentation/agentic-rag-langgraph/) | Build AI agents to answer library documentation. | <span class="pill">LangGraph</span> | 45m | <span class="text-yellow">Intermediate</span> |
+| [Discord RAG Bot](/documentation/agentic-rag-camelai-discord/) | Develop a functional bot with CAMEL-AI. | <span class="pill">OpenAI</span> | 45m | <span class="text-yellow">Intermediate</span> |
+| [LLM-Powered Filter Automation](/documentation/search-precision/automate-filtering-with-llms/) | Use LLM structured output for dynamic filters. | <span class="pill">Python</span> | 30m | <span class="text-yellow">Intermediate</span> |
+
+---
+
+### Operations & Scale
+*Production-grade management, monitoring, and high-volume optimization.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [Snapshots](/documentation/tutorials-operations/create-snapshot/) | Create and restore collection snapshots. | <span class="pill">Python</span> | 20m | <span class="text-green">Beginner</span> |
+| [Cloud Inference Hybrid Search](/documentation/tutorials-and-examples/cloud-inference-hybrid-search/) | Hybrid search using Qdrant's built-in inference. | <span class="pill">Any</span> | 20m | <span class="text-green">Beginner</span> |
+| [Data Migration](/documentation/tutorials-operations/migration/) | Move dense and sparse embeddings to Qdrant. | <span class="pill">CLI</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Qdrant Cloud Prometheus Monitoring](/documentation/tutorials-and-examples/managed-cloud-prometheus/) | Observability with Prometheus and Grafana. | <span class="pill">Prometheus</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Self-Hosted Prometheus Monitoring](/documentation/tutorials-and-examples/hybrid-cloud-prometheus/) | Observability for hybrid/private cloud setups. | <span class="pill">Prometheus</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Large-Scale Search](/documentation/tutorials-operations/large-scale-search/) | Cost-efficient search for LAION-400M datasets. | <span class="pill">None</span> | 2 days | <span class="text-red">Advanced</span> |
+
+---
+
+### Develop & Implement
+*Core tools and APIs for building with Qdrant.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [Bulk Operations](/documentation/tutorials-develop/bulk-upload/) | High-scale ingestion tricks for power users. | <span class="pill">Python</span> | 20m | <span class="text-yellow">Intermediate</span> |
+| [Async API](/documentation/tutorials-develop/async-api/) | Use Asynchronous programming for efficiency. | <span class="pill">Python</span> | 25m | <span class="text-yellow">Intermediate</span> |
+
+---
+
+### Ecosystem & Integrations
+*Connect Qdrant to cloud providers, data streams, and ETL tools.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [S3 Ingestion with LangChain](/documentation/data-ingestion-beginners/) | Stream data from AWS S3 to vector store. | <span class="pill">LangChain</span> | 30m | <span class="text-green">Beginner</span> |
+| [Hugging Face Dataset Ingestion](/documentation/tutorials-ecosystem/huggingface-datasets/) | Load and search public ML datasets. | <span class="pill">Python</span> | 15m | <span class="text-green">Beginner</span> |
+| [Databricks Ingestion](/documentation/send-data/databricks/) | Vectorize datasets using FastEmbed on Databricks. | <span class="pill">Databricks</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Querying with Airflow](/documentation/send-data/qdrant-airflow-astronomer/) | Orchestrate data engineering workflows. | <span class="pill">Airflow</span> | 45m | <span class="text-yellow">Intermediate</span> |
+| [n8n Workflow Automation](/documentation/qdrant-n8n/) | Combine Qdrant with low-code n8n workflows. | <span class="pill">n8n</span> | 45m | <span class="text-yellow">Intermediate</span> |
+| [Kafka Streaming into Qdrant](/documentation/send-data/data-streaming-kafka-qdrant/) | Setup Qdrant Sink Connector for real-time data. | <span class="pill">Kafka</span> | 60m | <span class="text-red">Advanced</span> |
+
+-->
@@ -0,0 +1,24 @@
+---
+title: Search Engineering
+weight: 18
+is_empty: false
+aliases:
+  - how-to
+  - tutorials
+partition: qdrant
+---
+
+### Search Engineering Tutorials
+*Master vector search modalities, reranking, and retrieval quality.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [Semantic Search Intro](/documentation/tutorials-search-engineering/neural-search/) | Deploy a search service for company descriptions. | <span class="pill">FastAPI</span> | 30m | <span class="text-green">Beginner</span> |
+| [Hybrid Search with FastEmbed](/documentation/tutorials-search-engineering/hybrid-search-fastembed/) | Combine dense and sparse search. | <span class="pill">FastAPI</span> | 20m | <span class="text-green">Beginner</span> |
+| [Collaborative Filtering](/documentation/tutorials-search-engineering/collaborative-filtering/) | Collaborative filtering using sparse embeddings. | <span class="pill">Python</span> | 45m | <span class="text-yellow">Intermediate</span> |
+| [Multivector Document Retrieval](/documentation/tutorials-search-engineering/pdf-retrieval-at-scale/) | PDF RAG using ColPali and embedding pooling. | <span class="pill">Python</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Retrieval Quality Evaluation](/documentation/tutorials-search-engineering/retrieval-quality/) | Measure quality and tune HNSW parameters. | <span class="pill">Python</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Hybrid Search with Reranking](/documentation/tutorials-search-engineering/reranking-hybrid-search/) | Implement late interaction and sparse reranking. | <span class="pill">Python</span> | 40m | <span class="text-yellow">Intermediate</span> |
+| [Semantic Search for Code](/documentation/tutorials-search-engineering/code-search/) | Navigate codebases using vector similarity. | <span class="pill">Python</span> | 45m | <span class="text-yellow">Intermediate</span> |
+| [Multivectors and Late Interaction](/documentation/advanced-tutorials/using-multivector-representations/) | Effective use of multivector representations. | <span class="pill">Python</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Static Embeddings](/documentation/tutorials-search-engineering/static-embeddings/) | Evaluate the utility of static embeddings. | <span class="pill">Python</span> | 20m | <span class="text-yellow">Intermediate</span> |
@@ -0,0 +1,22 @@
+---
+title: Operations & Scale
+weight: 34
+is_empty: true
+hideInSidebar: true
+aliases:
+  - how-to
+  - tutorials
+partition: qdrant
+---
+
+# Operations & Scale Tutorials
+*Production-grade management, monitoring, and high-volume optimization.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [Snapshot & Backup](/documentation/tutorials-operations/create-snapshot/) | Create and restore collection snapshots. | <span class="pill">Python</span> | 20m | <span class="text-green">Beginner</span> |
+| [Cloud Inference Search](/documentation/tutorials-and-examples/cloud-inference-hybrid-search/) | Hybrid search using Qdrant's built-in inference. | <span class="pill">Any</span> | 20m | <span class="text-green">Beginner</span> |
+| [Embedding Migration](/documentation/tutorials-operations/migration/) | Move dense and sparse embeddings to Qdrant. | <span class="pill">CLI</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Monitor Managed Cloud](/documentation/tutorials-and-examples/managed-cloud-prometheus/) | Observability with Prometheus and Grafana. | <span class="pill">Prometheus</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Monitor Private Cloud](/documentation/tutorials-and-examples/hybrid-cloud-prometheus/) | Observability for hybrid/private cloud setups. | <span class="pill">Prometheus</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Billion-Scale Search](/documentation/tutorials-operations/large-scale-search/) | Cost-efficient search for LAION-400M datasets. | <span class="pill">None</span> | 2 days | <span class="text-red">Advanced</span> |
@@ -2,6 +2,7 @@
 title: Create & Restore Snapshots
 aliases:
  - /documentation/tutorials/create-snapshot/
+  - /documentation/database-tutorials/create-snapshot/
 weight: 2
 ---

@@ -1,5 +1,7 @@
 ---
 title: Large Scale Search
+aliases:
+    - /documentation/database-tutorials/large-scale-search/
 weight: 2
 ---

@@ -1,5 +1,7 @@
 ---
 title: Migration to Qdrant
+aliases:
+    - /documentation/database-tutorials/migration/
 weight: 180
 ---

@@ -0,0 +1,25 @@
+---
+title: Search Engineering
+weight: 32
+is_empty: true
+hideInSidebar: true
+aliases:
+  - how-to
+  - tutorials
+partition: qdrant
+---
+
+# Search Engineering Tutorials
+*Master vector search modalities, reranking, and retrieval quality.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [Hybrid Search with FastEmbed](/documentation/tutorials-search-engineering/hybrid-search-fastembed/) | Combine dense and sparse search for startups. | <span class="pill">FastAPI</span> | 20m | <span class="text-green">Beginner</span> |
+| [Neural Search Service](/documentation/tutorials-search-engineering/neural-search/) | Deploy a search service for company descriptions. | <span class="pill">FastAPI</span> | 30m | <span class="text-green">Beginner</span> |
+| [Movie Recommendations](/documentation/tutorials-search-engineering/collaborative-filtering/) | Collaborative filtering using sparse embeddings. | <span class="pill">Python</span> | 45m | <span class="text-yellow">Intermediate</span> |
+| [Advanced PDF Retrieval](/documentation/tutorials-search-engineering/pdf-retrieval-at-scale/) | PDF RAG using ColPali and embedding pooling. | <span class="pill">Python</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Retrieval Quality Benchmarking](/documentation/tutorials-search-engineering/retrieval-quality/) | Measure quality and tune HNSW parameters. | <span class="pill">Python</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Multivector Reranking](/documentation/search-precision/reranking-semantic-search/) | Use multivector representations for better ranking. | <span class="pill">Python</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Hybrid Search Reranking](/documentation/tutorials-search-engineering/reranking-hybrid-search/) | Implement late interaction and sparse reranking. | <span class="pill">Python</span> | 40m | <span class="text-yellow">Intermediate</span> |
+| [Semantic Code Search](/documentation/tutorials-search-engineering/code-search/) | Navigate codebases using vector similarity. | <span class="pill">Python</span> | 45m | <span class="text-yellow">Intermediate</span> |
+| [Static Embeddings Analysis](/documentation/tutorials-search-engineering/static-embeddings/) | Evaluate the renaissance of static embeddings. | <span class="pill">Python</span> | 20m | <span class="text-yellow">Intermediate</span> |
@@ -2,6 +2,7 @@
 title: Search Through Your Codebase
 aliases:
  - /documentation/tutorials/code-search/
+  - /documentation/advanced-tutorials/code-search/
 weight: 2
 ---

@@ -2,6 +2,7 @@
 title: Build a Recommendation System with Collaborative Filtering
 aliases:
  - /documentation/tutorials/collaborative-filtering/
+  - /documentation/advanced-tutorials/collaborative-filtering/
 short_description: "Build an effective movie recommendation system using collaborative filtering and Qdrant's similarity search."
 description: "Build an effective movie recommendation system using collaborative filtering and Qdrant's similarity search." 
 preview_image: /blog/collaborative-filtering/social_preview.png
@@ -2,6 +2,7 @@
 title: Setup Hybrid Search with FastEmbed
 aliases:
  - /documentation/tutorials/hybrid-search-fastembed/
+  - /documentation/beginner-tutorials/hybrid-search-fastembed/
 weight: 3
 ---

@@ -2,6 +2,7 @@
 title: Build a Neural Search Service
 aliases:
  - /documentation/tutorials/neural-search/
+  - /documentation/beginner-tutorials/neural-search/
 weight: 2
 ---

@@ -2,6 +2,7 @@
 title: Scaling PDF Retrieval with Qdrant
 aliases:
  - /documentation/tutorials/pdf-retrieval-at-scale/
+  - /documentation/advanced-tutorials/pdf-retrieval-at-scale/
 short_description: "Optimizing PDF retrieval at scale with Qdrant and Vision Large Language Models (VLLMs) such as ColPali and ColQwen."
 description: "Optimizing PDF retrieval at scale with Qdrant and Vision Large Language Models (VLLMs) such as ColPali and ColQwen. Two-stage retrieval with multivector representations mean pooling."
 weight: 4
@@ -3,6 +3,7 @@ title: Reranking in Hybrid Search
 weight: 2
 aliases:
  - /documentation/search-precision/reranking-hybrid-search/
+  - /documentation/advanced-tutorials/reranking-hybrid-search/
 ---

 # Reranking Hybrid Search Results with Qdrant Vector Database
@@ -2,6 +2,7 @@
 title: Measure Search Quality
 aliases:
  - /documentation/tutorials/retrieval-quality/
+  - /documentation/beginner-tutorials/retrieval-quality/
 weight: 4
 ---

@@ -3,6 +3,7 @@ title: Static Embeddings. Should you pay attention?
 weight: 181
 aliases:
  - /blog/static-embeddings/
+  - /documentation/database-tutorials/static-embeddings/
 ---
 # Static Embeddings: should you pay attention?
 In the world of resource-constrained computing, a quiet revolution is taking place. While transformers dominate 
@@ -3,6 +3,7 @@ title: How to Use Multivector Representations with Qdrant Effectively
 weight: 2
 aliases:
  - /documentation/search-precision/multivector-representations-with-Qdrant/
+  - /documentation/advanced-tutorials/using-multivector-representations/
 ---
 # How to Effectively Use Multivector Representations in Qdrant for Reranking
 Multivector Representations are one of the most powerful features of Qdrant. However, most people don't use them effectively, resulting in massive RAM overhead, slow inserts, and wasted compute. 
@@ -59,17 +59,17 @@ content:
      title: Tutorials
      description: Step-by-step guides and video content for hands-on learning with practical examples and real-world applications.
      list:
-        title: "Tutorial levels:"
+        title: "Tutorial categories:"
        elements:
-            - "Vector Search Basics"
-            - "Advanced Retrieval"
-            - "Using the Database"
+            - "Search Engineering"
+            - "Operations and Scale"
+            - "Develop and Implement"
      
      link:
-        url: /documentation/database-tutorials/
+        url: /documentation/tutorials-lp-overview
        text: Explore Tutorials
  - partial: documentation/sections/cards-section
-    title: Quick Start
+    title: Quickstart
    description: 
    cardsPartial: documentation/cards/docs-cards
    cardsPerRow: 2
@@ -79,18 +79,18 @@ content:
        src: /icons/outline/rocket-blue.svg
        alt: Rocket icon
      title: New to Vector Search?
-      description: Start with our beginner-friendly articles on vector embeddings and basic concepts.
+      description: Start with our beginner-friendly exercises on vector embeddings and basic concepts.
      link:
        text: Start Learning
-        url: /documentation/beginner-tutorials/
+        url: /documentation/tutorials-lp-basics
    - id: 2
      icon:
        src: /icons/outline/hacker-purple.svg
        alt: Hacker icon
      title: Ready to Build?
-      description: Jump into practical examples and integration guides to implement Qdrant in your projects.
+      description: Build out practical projects using our example prototypes and integration guides.
      link:
        text: View Examples
-        url: /documentation/advanced-tutorials/
+        url: /documentation/examples/
 ---

@@ -1,8 +1,8 @@
 ---
 #Delimiter files are used to separate the list of documentation pages into sections.
 type: reference
-reference: /documentation/advanced-tutorials
-weight: 320
+reference: /documentation/tutorials-lp-basics
+weight: 311
 sitemapExclude: True
 _build:
  publishResources: false
@@ -1,8 +1,8 @@
 ---
 #Delimiter files are used to separate the list of documentation pages into sections.
 type: reference
-reference: /documentation/database-tutorials
-weight: 330
+reference: /documentation/tutorials-lp-develop
+weight: 315
 sitemapExclude: True
 _build:
  publishResources: false
@@ -0,0 +1,11 @@
+---
+#Delimiter files are used to separate the list of documentation pages into sections.
+type: reference
+reference: /documentation/tutorials-lp-operations
+weight: 314
+sitemapExclude: True
+_build:
+  publishResources: false
+  render: never
+partition: learn
+---
@@ -1,7 +1,7 @@
 ---
 #Delimiter files are used to separate the list of documentation pages into sections.
 type: reference
-reference: /documentation/beginner-tutorials
+reference: /documentation/tutorials-lp-overview
 weight: 310
 sitemapExclude: True
 _build:
@@ -0,0 +1,11 @@
+---
+#Delimiter files are used to separate the list of documentation pages into sections.
+type: reference
+reference: /documentation/tutorials-lp-search-engineering
+weight: 312
+sitemapExclude: True
+_build:
+  publishResources: false
+  render: never
+partition: learn
+---
@@ -45,12 +45,14 @@ $success-10: #00210f;
 $success-30: #00522f;
 $success-50: #008a53;
 $success-70: #50bf83;
+$success-80: #7de2ad;
 $success-90: #befad6;

 $warning-10: #311300;
 $warning-30: #733501;
 $warning-50: #e0700d;
 $warning-70: #ff8d39;
+$warning-80: #ffb400;
 $warning-90: #ffdbc7;

 $error-10: #410002;
@@ -13,4 +13,4 @@
@import 'partials/feedback';
@import 'partials/documentation/docs-footer';
@import 'partials/video';
-@import 'search/dark-theme';
+@import 'search/dark-theme';
@@ -1,4 +1,5 @@
@use '../../helpers/functions' as *;
+@use 'sass:color';

 .documentation {
  background-color: $neutral-10;
@@ -19,6 +20,68 @@
    flex-wrap: wrap;
  }

+  table {
+    width: 100%;
+    border-collapse: collapse;
+    margin: 1rem 0;
+
+    th {
+      text-align: left;
+      padding: 8px 10px;
+    }
+
+    td {
+      padding: 8px 10px;
+      vertical-align: middle;
+      line-height: 1.4;
+
+      // Link styling
+      a {
+        color: $primary-50;
+        text-decoration: none;
+        &:hover {
+          text-decoration: underline;
+        }
+      }
+    }
+
+    tr {
+      // transition for the background color change
+      transition: background-color 0.2s ease;
+
+      &:hover {
+        // hover color highlight
+        background-color: $neutral-20;
+
+        // make the link slightly more prominent on hover
+        td a {
+          color: darken($primary-60, 10%);
+        }
+      }
+    }
+
+    // Ensure the header row doesn't highlight on hover
+    thead tr:hover {
+      background-color: transparent;
+    }
+  }
+
+  // Stack Pill Styling
+  .pill {
+    display: inline-block;
+    padding: 1px 8px;
+    border-radius: 12px;
+    font-size: 0.85rem;
+    background-color: $neutral-30;
+    color: $neutral-94;
+    border: 0;
+  }
+
+  // Level Color-Coding
+  .text-green { color: $success-80; }
+  .text-yellow { color: $warning-80; }
+  .text-red { color: $error-50; }
+
  @include media-breakpoint-up(xl) {
    &__container {
      max-width: 100vw !important;
@@ -52,5 +115,21 @@
        box-shadow: 0 0 0 2px $neutral-70;
      }
    }
+
+    table {
+      tr:hover {
+        background-color: $neutral-98;
+      }
+    }
+
+    .pill {
+      background-color: $neutral-70;
+      border: 0;
+      color: $neutral-100;
+    }
+
+    .text-green { color: color.adjust($success-50, $saturation: 5%, $lightness: 8%); }
+    .text-yellow { color: color.adjust($warning-50, $saturation: 5%, $lightness: 8%); }
+    .text-red { color: color.adjust($error-50, $lightness: 3%); }
  }
 }