converted section dropdowns to pages, updated Build page nav and context

2026-10-06 11:28:31 +02:00 · 2026-01-05 20:37:02 -08:00
parent 402f930956
commit 0af8d62f9f
34 changed files with 177 additions and 50 deletions
@@ -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
---
@@ -1,6 +1,6 @@
 ---
 #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
 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: Observability
-weight: 22
+weight: 21
 partition: build
 ---

@@ -1,6 +1,6 @@
 ---
 title: Platforms
-weight: 23
+weight: 22
 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:
@@ -1,7 +1,8 @@
 ---
 title: Basics
-weight: 17
-is_empty: false
+weight: 31
+is_empty: true
+hideInSidebar: true
 aliases:
  - how-to
  - tutorials
@@ -1,7 +1,8 @@
 ---
 title: Develop & Implement
-weight: 21
-is_empty: false
+weight: 35
+is_empty: true
+hideInSidebar: true
 partition: qdrant
 ---

@@ -1,7 +1,8 @@
 ---
 title: Ecosystem & Integrations
-weight: 22
-is_empty: false
+weight: 36
+is_empty: true
+hideInSidebar: true
 aliases:
  - how-to
  - tutorials
@@ -1,8 +1,10 @@
 ---
 title: Data Ingestion for Beginners
 weight: 2
-partition: build
+#partition: build
 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)

@@ -1,10 +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/

 ---

@@ -0,0 +1,18 @@
+---
+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 |
+| :--- | :--- | :--- | :--- | :--- |
+| [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> |
@@ -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 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> |
@@ -0,0 +1,21 @@
+---
+title: Ecosystem & Integrations
+weight: 22
+is_empty: false
+aliases:
+  - how-to
+  - tutorials
+partition: qdrant
+---
+
+# 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 Datasets](/documentation/tutorials-ecosystem/huggingface-datasets/) | Load and search public ML datasets. | <span class="pill">Python</span> | 15m | <span class="text-green">Beginner</span> |
+| [Databricks Integration](/documentation/send-data/databricks/) | Vectorize datasets using FastEmbed on Databricks. | <span class="pill">Databricks</span> | 30m | <span class="text-yellow">Intermediate</span> |
+| [Airflow & Astronomer](/documentation/send-data/qdrant-airflow-astronomer/) | Orchestrate data engineering workflows. | <span class="pill">Airflow</span> | 45m | <span class="text-yellow">Intermediate</span> |
+| [No-Code Automation (n8n)](/documentation/qdrant-n8n/) | Combine Qdrant with low-code n8n workflows. | <span class="pill">n8n</span> | 45m | <span class="text-yellow">Intermediate</span> |
+| [Kafka Data Streaming](/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 +1,21 @@
+---
+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 |
+| :--- | :--- | :--- | :--- | :--- |
+| [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> |
@@ -0,0 +1,20 @@
+---
+title: RAG & AI Agents
+weight: 19
+is_empty: false
+aliases:
+  - how-to
+  - tutorials
+partition: qdrant
+---
+
+# RAG & AI Agents Tutorials
+*Build intelligent agents and complex LLM-driven applications.*
+
+| Tutorial | Objective | Stack | Time | Level |
+| :--- | :--- | :--- | :--- | :--- |
+| [Multimodal Search (LlamaIndex)](/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> |
+| [Agentic Discord ChatBot](/documentation/agentic-rag-camelai-discord/) | Develop a functional bot with CAMEL-AI. | <span class="pill">OpenAI</span> | 45m | <span class="text-yellow">Intermediate</span> |
+| [Automate Metadata Filtering](/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> |
@@ -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 |
+| :--- | :--- | :--- | :--- | :--- |
+| [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> |
@@ -1,7 +1,8 @@
 ---
 title: Operations & Scale
-weight: 20
-is_empty: false
+weight: 34
+is_empty: true
+hideInSidebar: true
 aliases:
  - how-to
  - tutorials
@@ -1,7 +1,8 @@
 ---
 title: RAG & AI Agents
-weight: 19
-is_empty: false
+weight: 33
+is_empty: true
+hideInSidebar: true
 aliases:
  - how-to
  - tutorials
@@ -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)
@@ -1,8 +1,10 @@
 ---
 title: Simple Agentic RAG System
 weight: 2
-partition: build
+#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)

@@ -1,7 +1,9 @@
 ---
 title: Agentic RAG With LangGraph 
 weight: 3
-partition: build
+#partition: build
+aliases:
+  - /documentation/agentic-rag-langgraph/
 ---
 # Agentic RAG With LangGraph and Qdrant

@@ -1,11 +1,12 @@
 ---
 title: Multilingual & Multimodal RAG with LlamaIndex
 weight: 5
-partition: build
+#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
@@ -1,7 +1,8 @@
 ---
 title: Search Engineering
-weight: 18
-is_empty: false
+weight: 32
+is_empty: true
+hideInSidebar: true
 aliases:
  - how-to
  - tutorials
@@ -66,7 +66,7 @@ content:
            - "Ecosystem and Integrations"
      
      link:
-        url: /documentation/tutorials-overview/
+        url: /documentation/tutorials-lp-overview
        text: Explore Tutorials
  - partial: documentation/sections/cards-section
    title: Quickstart
@@ -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/tutorials-basics/
+        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/tutorials-search-engineer/
+        url: /documentation/examples/
 ---

@@ -1,7 +1,7 @@
 ---
 #Delimiter files are used to separate the list of documentation pages into sections.
 type: reference
-reference: /documentation/tutorials-basics
+reference: /documentation/tutorials-lp-basics
 weight: 311
 sitemapExclude: True
 _build:
@@ -1,7 +1,7 @@
 ---
 #Delimiter files are used to separate the list of documentation pages into sections.
 type: reference
-reference: /documentation/tutorials-develop
+reference: /documentation/tutorials-lp-develop
 weight: 315
 sitemapExclude: True
 _build:
@@ -1,7 +1,7 @@
 ---
 #Delimiter files are used to separate the list of documentation pages into sections.
 type: reference
-reference: /documentation/tutorials-ecosystem
+reference: /documentation/tutorials-lp-ecosystem
 weight: 316
 sitemapExclude: True
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@@ -1,7 +1,7 @@
 ---
 #Delimiter files are used to separate the list of documentation pages into sections.
 type: reference
-reference: /documentation/tutorials-operations
+reference: /documentation/tutorials-lp-operations
 weight: 314
 sitemapExclude: True
 _build:
@@ -1,7 +1,7 @@
 ---
 #Delimiter files are used to separate the list of documentation pages into sections.
 type: reference
-reference: /documentation/tutorials-overview
+reference: /documentation/tutorials-lp-overview
 weight: 310
 sitemapExclude: True
 _build:
@@ -1,7 +1,7 @@
 ---
 #Delimiter files are used to separate the list of documentation pages into sections.
 type: reference
-reference: /documentation/tutorials-rag-and-agents
+reference: /documentation/tutorials-lp-rag-and-agents
 weight: 313
 sitemapExclude: True
 _build:
@@ -1,7 +1,7 @@
 ---
 #Delimiter files are used to separate the list of documentation pages into sections.
 type: reference
-reference: /documentation/tutorials-search-engineering
+reference: /documentation/tutorials-lp-search-engineering
 weight: 312
 sitemapExclude: True
 _build: