landing_page/qdrant-landing/content/documentation/tutorials-build-essentials/_index.md

title, short_description, description, weight, partition, cascade

title	short_description	description	weight	partition	cascade
Essential Examples	Hands-on Qdrant integration tutorials: connect AI agents, RAG pipelines, ingestion stacks, and automation tools to a vector database.	Step-by-step tutorials integrating Qdrant with LangChain, LlamaIndex, n8n, AWS S3, and other AI ecosystem tools to build production retrieval pipelines.	1200	ecosystem	learning_kind examples

Integration 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	Build a RAG pipeline with DeepSeek enrichment.	Python	5m	Beginner
Agentic RAG with CrewAI	Step-by-step multi-agent RAG system.	CrewAI	45m	Beginner
n8n Workflow Automation	Combine Qdrant with low-code n8n workflows.	n8n	45m	Intermediate
Discord RAG Bot	Develop a functional bot with CAMEL-AI.	OpenAI	45m	Intermediate
Video Anomaly Detection Part 1	Architecture, Twelve Labs, and NVIDIA VSS integration.	Python	90m	Advanced
Video Anomaly Detection Part 2	Two-shard Qdrant Edge architecture and escalation pipeline.	Python	90m	Advanced
Video Anomaly Detection Part 3	Scoring, baseline governance, and deployment on Vultr.	Python	90m	Advanced