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update tutorial times to 90 min

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thierrypdamiba
2026-03-15 18:43:24 -07:00
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qdrant-landing/content/documentation/tutorials-build-essentials/_index.md
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| [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> |
| [Video Anomaly Detection Part I](/documentation/tutorials-build-essentials/video-anomaly-edge-part-1/) | Architecture, Twelve Labs, and NVIDIA VSS integration. | <span class="pill">Python</span> | 60m | <span class="text-red">Advanced</span> |
| [Video Anomaly Detection Part I](/documentation/tutorials-build-essentials/video-anomaly-edge-part-1/) | Architecture, Twelve Labs, and NVIDIA VSS integration. | <span class="pill">Python</span> | 90m | <span class="text-red">Advanced</span> |
| [Video Anomaly Detection Part II](/documentation/tutorials-build-essentials/video-anomaly-edge-part-2/) | Two-shard Qdrant Edge architecture and escalation pipeline. | <span class="pill">Python</span> | 90m | <span class="text-red">Advanced</span> |
| [Video Anomaly Detection Part III](/documentation/tutorials-build-essentials/video-anomaly-edge-part-3/) | Scoring, baseline governance, and deployment on Vultr. | <span class="pill">Python</span> | 60m | <span class="text-red">Advanced</span> |
| [Video Anomaly Detection Part III](/documentation/tutorials-build-essentials/video-anomaly-edge-part-3/) | Scoring, baseline governance, and deployment on Vultr. | <span class="pill">Python</span> | 90m | <span class="text-red">Advanced</span> |
qdrant-landing/content/documentation/tutorials-build-essentials/video-anomaly-edge-part-1.md
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# Video Anomaly Detection: Architecture, Twelve Labs, and NVIDIA VSS
| Time: 120 min | Level: Advanced | Output: [GitHub](https://github.com/qdrant/video-anomaly-edge) |
| Time: 90 min | Level: Advanced | Output: [GitHub](https://github.com/qdrant/video-anomaly-edge) |
| --- | ----------- | ----------- |
*This is Part I of a 3-part series on building real-time video anomaly detection from edge to cloud. We'll go from architecture and integrations to a production-grade detection pipeline.*
qdrant-landing/content/documentation/tutorials-build-essentials/video-anomaly-edge-part-3.md
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# Video Anomaly Detection: Scoring, Governance, and Deployment
| Time: 60 min | Level: Advanced | Output: [GitHub](https://github.com/qdrant/video-anomaly-edge) |
| Time: 90 min | Level: Advanced | Output: [GitHub](https://github.com/qdrant/video-anomaly-edge) |
| --- | ----------- | ----------- |
*This is Part III of a 3-part series on building real-time video anomaly detection from edge to cloud.*