RAG_qdrant

★ 7.3 · n8n · simple · 5 nodes

RAG_qdrant is an n8n automation template that implements Retrieval-Augmented Generation search over documents using Qdrant as a vector store and local language models via Ollama. Reach for it when you need to query internal documentation and get grounded answers from specific passages, when you want a corporate Q&A system without sending data to the cloud, or when you need to plug smart knowledge-base search directly into an n8n pipeline. Trigger: form — the user submits a question, the workflow retrieves relevant chunks from Qdrant, and Ollama generates the answer. Integrations: Ollama, Qdrant. The stack is fully self-hosted: Qdrant for vector storage, Ollama for local LLM inference, n8n as the orchestrator. The workflow handles retrieval and answer generation — document ingestion and chunking are configured separately outside this template. A good fit for teams where data privacy matters and external API calls are not an option; not suitable if Qdrant and Ollama instances are not already running.