Most-used N8N Nodes Qdrant workflows
- Main Workflow (63 nodes)
- Rssフィードから海外のテック記事を収集し、aiで選定・翻訳・要約する — n8n N8N Nodes Qdrant workflow (39 nodes)
- Vision RAG and Image Embeddings Using Cohere Command-a and Embed V4 (38 nodes)
- Index Legal Documents for Hybrid Search with Qdrant, Openai & Bm25 — n8n N8N Nodes Qdrant workflow (37 nodes)
- Build Document RAG System with Kimi-k2, Gemini Embeddings and Qdrant (35 nodes)
- Retrieve and Answer Gmail Email Queries with Llama 3.2, Mxbai-embed, and Qdrant — n8n N8N Nodes Qdrant workflow (30 nodes)
- Build Hybrid RAG Search Over Pdfs with Qdrant and Ollama (23 nodes)
- Chat with Your Business Knowledge Base Using Google Gemini and Qdrant — n8n N8N Nodes Qdrant workflow (21 nodes)
- Evaluate Hybrid Search for Legal Question-answering Using Qdrant & Bm25/mxbai (17 nodes)
- Astro-mcp — n8n N8N Nodes Qdrant workflow (6 nodes)
main_workflow. Uses agent, n8n-nodes-upstage, documentDefaultDataLoader, textSplitterCharacterTextSplitter. Webhook trigger; 63 nodes.
RSSフィードから海外のテック記事を収集し、AIで選定・翻訳・要約する. Uses rssFeedRead, n8n-nodes-qdrant, vectorStoreQdrant, documentDefaultDataLoader. Webhook trigger; 39 nodes.
The benefits being (1) the vision model doesn't need to keep all document scans in context (expensive) and (2) ability to query on graphical content such as charts, graphs and tables. Page extracts fr
This pipeline is the first part of "Hybrid Search with Qdrant & n8n, Legal AI"*. The second part, "Hybrid Search with Qdrant & n8n, Legal AI: Retrieval", covers retrieval and simple evaluation.*
Featherless.ai is an inference provider with a different pricing model - they charge a flat subscription fee (starting from $10) and allows for unlimited token usage instead. If you're typically spend
Self-Hosted
This workflow ingests a local PDF into Qdrant with Ollama embeddings, then supports hybrid retrieval by querying Qdrant with both dense vectors and BM25 sparse vectors from an n8n chat trigger. Starts
This comprehensive Retrieval-Augmented Generation (RAG) system enables businesses to effectively manage and query their knowledge base. Users can seamlessly upload documents via a web form, automatica
This is the second part of "Hybrid Search with Qdrant & n8n, Legal AI."* The first part, "Indexing", covers preparing and uploading the dataset to Qdrant.*
10 of 10 workflows in this view · Browse all →
FAQ
How many n8n N8N Nodes Qdrant workflows are in the catalog?
10 n8n workflows in AutomationFlows currently use the N8N Nodes Qdrant integration — triggers, actions, or both.
How do I connect N8N Nodes Qdrant in n8n?
After importing the workflow JSON, n8n will prompt for N8N Nodes Qdrant credentials on the relevant nodes. AutomationFlows strips credential IDs before publishing — you'll add your own.
Can I combine these with other integrations?
Yes — most N8N Nodes Qdrant workflows pair with adjacent tools (Slack alerts, Google Sheets logging, OpenAI summarisation). Browse the integration tags on each workflow page to discover pairings.