N8N QDrant workflow expert

Expertise in designing, building, and troubleshooting production-grade n8n workflows for Qdrant ingestion, retrieval, hybrid search, and RAG pipelines.

This skill is documentation and example workflows for n8n→Qdrant RAG pipelines and appears internally consistent. Before importing or running any of the example workflows: 1) Replace all CONFIGURE_ME_* placeholders and verify the intended credential method (n8n credentials vs environment variables). 2) Confirm where sensitive data will be sent — examples call OpenAI, Qdrant, Gemini, Slack, and show an optional sparse-encoder HTTP endpoint; avoid sending confidential data to third-party endpoints you don't control. 3) Don’t paste production secrets into workflow JSON — configure them via n8n credentials or secure env storage. 4) If you run the sparse encoder as a service, host it in your environment or add authentication to avoid leaking queries. 5) Test in a sandbox account and audit logs/rate limits/costs before enabling scheduled ingestion. The only metadata inconsistency: the registry declares no required env vars while the examples depend on external service credentials — that’s expected for instruction-only skills but worth noting.