{"skill":{"slug":"n8n-qdrant","displayName":"N8N QDrant workflow expert","summary":"Expertise in designing, building, and troubleshooting production-grade n8n workflows for Qdrant ingestion, retrieval, hybrid search, and RAG pipelines.","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":111,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1775255737157,"updatedAt":1775255761840},"latestVersion":{"version":"1.0.0","createdAt":1775255737157,"changelog":"- Initial release of the n8n + Qdrant: Ingestion & RAG Pipeline Skill.\n- Provides step-by-step guidance for end-to-end Qdrant ingestion and retrieval workflows in n8n.\n- Explains the difference between the Official Qdrant Node and the built-in LangChain Vector Store Node, with clear usage recommendations.\n- Includes pipeline architecture diagrams for both ingestion and RAG retrieval flows.\n- Covers credentials setup for both cloud and local Qdrant deployments.\n- Offers naming conventions, a decision matrix for node selection, and critical rules for robust, production-grade pipelines.\n- Points to detailed documentation for further reference and best practices.","license":"MIT-0"},"metadata":null,"owner":{"handle":"encryptshawn","userId":"s17acjjwshpqj4xkbngejj57nx83zbcy","displayName":"EncryptShawn","image":"https://avatars.githubusercontent.com/u/56897824?v=4"},"moderation":null}