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 |
| Question Answering with LangChain | Build a retrieval-augmented question answering pipeline. | LangChain | 20m | Beginner |
| Agentic RAG with CrewAI | Answer questions about meeting notes with two CrewAI agents on Claude, grounded in Qdrant retrieval with FastEmbed. | CrewAI | 30m | Beginner |
| Agentic RAG with LangGraph | Build AI agents to answer library documentation. | LangGraph | 45m | Intermediate |
| Discord RAG Bot | Develop a functional bot with CAMEL-AI. | OpenAI | 45m | Intermediate |
| Semantic Caching for RAG | Reuse answers to repeated questions and invalidate stale ones. | Python | 30m | 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 |
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