n8n-nodes-qdrant.qdrant
7 workflows using this node.
What is the n8n-nodes-qdrant.qdrant node used for in n8n workflows?
n8n-nodes-qdrant.qdrant n8n workflows are automation templates that use the n8n-nodes-qdrant.qdrant node as part of a reusable workflow. Builders use these templates to inspect how the node connects with triggers, data transformation steps, app integrations, notifications, storage, or AI-powered actions inside n8n. Each workflow listing includes a title, summary, author attribution, categories, complexity level, source links when available, and a downloadable JSON file for review before import. Use this page to compare practical examples, understand the surrounding nodes, and choose a template that can be safely tested and adapted in your own n8n workspace.
n8n-nodes-qdrant-qdrant 
Build hybrid RAG search over PDFs with Qdrant and Ollama
Quick overview This workflow ingests a local PDF into Qdrant with Ollama embeddings, then supports hybrid retrieval b...
Chat with your business knowledge base using Google Gemini and Qdrant
This comprehensive Retrieval Augmented Generation (RAG) system enables businesses to effectively manage and query the...
Retrieve and answer Gmail email queries with Llama 3.2, mxbai-embed, and Qdrant
Self Hosted This workflow provides a complete end to end system for automatically managing your inbox by reading inco...
Evaluate hybrid search for legal question-answering using Qdrant & BM25/mxbai
Evaluate Hybrid Search on Legal Dataset This is the second part of "Hybrid Search with Qdrant & n8n, Legal AI." The f...
Index legal documents for hybrid search with Qdrant, OpenAI & BM25
Index Legal Dataset to Qdrant for Hybrid Retrieval This pipeline is the first part of "Hybrid Search with Qdrant & n8...
Vision RAG and image embeddings using Cohere Command-A and Embed v4
Cohere's new multimodal model releases make building your own Vision RAG agents a breeze. If you're new to Multimodal...
Build document RAG system with Kimi-K2, Gemini embeddings and Qdrant
Generating contextual summaries is an token int...