AutomationFlows › Qdrant Vector Store

n8n workflows for Qdrant Vector Store.

All n8n workflows that use the Qdrant Vector Store integration. Each is integration-tagged, privacy-stripped, and importable into your n8n instance in one click.
AI & RAG
Loading JSON via FTP to Qdrant Vector Database Embedding Pipeline

🧠 This workflow is designed for one purpose only, to bulk-upload structured JSON articles from an FTP server into a Qdrant vector database for use in LLM-powered semantic search, RAG systems, or AI as

Qdrant Vector Store, OpenAI Embeddings, Document Default Data Loader +2
AI & RAG
RAG Whatsapp

RAG Whatsapp. Uses @devlikeapro/n8n-nodes-waha, agent, lmChatOpenAi, embeddingsOpenAi. Event-driven trigger; 13 nodes.

@Devlikeapro/N8N Nodes Waha, Agent, OpenAI Chat +4
AI & RAG
Appflowy Content Sync to Vector Store

AppFlowy Content Sync to Vector Store. Uses n8n-nodes-appflowy, textSplitterRecursiveCharacterTextSplitter, documentDefaultDataLoader, embeddingsOllama. Event-driven trigger; 11 nodes.

N8N Nodes Appflowy, Text Splitter Recursive Character Text Splitter, Document Default Data Loader +3
AI & RAG
RAG Search Agent

RAG Search Agent. Uses executeWorkflowTrigger, agent, lmChatOpenAi, toolVectorStore. Event-driven trigger; 11 nodes.

Execute Workflow Trigger, Agent, OpenAI Chat +3
AI & RAG
Agente_ecommerce_v3_subflujo

Agente_Ecommerce_v3_subflujo. Uses embeddingsGoogleGemini, vectorStoreQdrant, executeWorkflowTrigger, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 10 nodes.

Google Gemini Embeddings, Qdrant Vector Store, Execute Workflow Trigger +3
AI & RAG
Google Drive PDF → Qdrant RAG Indexer

Google Drive PDF → Qdrant RAG Indexer. Uses googleDrive, vectorStoreQdrant, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 10 nodes.

Google Drive, Qdrant Vector Store, Document Default Data Loader +3
AI & RAG
Fluidflow Slack Triage Bot

Fluidflow Slack Triage Bot. Uses slack, slackTrigger, lmChatOpenAi, vectorStoreQdrant. Event-driven trigger; 8 nodes.

Slack, Slack Trigger, OpenAI Chat +4
AI & RAG
Ingest Vector Store Ecommerce

Ingest Vector Store Ecommerce. Uses readWriteFile, vectorStoreQdrant, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 8 nodes.

Read Write File, Qdrant Vector Store, OpenAI Embeddings +2
AI & RAG
Ingest Vector Store

Ingest Vector Store. Uses readWriteFile, vectorStoreQdrant, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 8 nodes.

Read Write File, Qdrant Vector Store, OpenAI Embeddings +2
AI & RAG
My Workflow 22

My workflow 22. Uses vectorStoreQdrant, documentDefaultDataLoader, embeddingsGoogleGemini. Webhook trigger; 7 nodes.

Qdrant Vector Store, Document Default Data Loader, Google Gemini Embeddings
AI & RAG
Ingest Documents

ingest_documents. Uses readBinaryFile, textSplitterRecursiveCharacterTextSplitter, embeddingsOpenAi, vectorStoreQdrant. Event-driven trigger; 5 nodes.

Read Binary File, Text Splitter Recursive Character Text Splitter, OpenAI Embeddings +1
AI & RAG
Tool Search Products

tool_search_products. Uses executeWorkflowTrigger, embeddingsOpenAi, vectorStoreQdrant. Event-driven trigger; 4 nodes.

Execute Workflow Trigger, OpenAI Embeddings, Qdrant Vector Store
AI & RAG
RAG Pipeline

RAG Pipeline. Uses formTrigger, vectorStoreQdrant, embeddingsOllama, documentDefaultDataLoader. Event-driven trigger; 13 nodes.

Form Trigger, Qdrant Vector Store, Ollama Embeddings +6
AI & RAG
Local Chatbot with Retrieval Augmented Generation (rag)

Click here to view the YouTube Tutorial

Form Trigger, Qdrant Vector Store, Ollama Embeddings +6
AI & RAG
Simple Vector Db

simple_vector_db. Uses googleDriveTrigger, googleDrive, vectorStoreQdrant, embeddingsOpenAi. Event-driven trigger; 13 nodes.

Google Drive Trigger, Google Drive, Qdrant Vector Store +6
AI & RAG
Jobmatch AI V3 (ultimate Enterprise Architecture)

JobMatch AI V3 (Ultimate Enterprise Architecture). Uses agent, toolVectorStore, vectorStoreQdrant, embeddingsGoogleGemini. Webhook trigger; 13 nodes.

Agent, Tool Vector Store, Qdrant Vector Store +4
AI & RAG
RAG Agent (vector Store Qdrant)

RAG Agent. Uses vectorStoreQdrant, documentDefaultDataLoader, agent, chatTrigger. Event-driven trigger; 12 nodes.

Qdrant Vector Store, Document Default Data Loader, Agent +5
AI & RAG
Implement On-prem RAG with Qdrant and Ollama for a Self-hosted Kb

Provides one workflow to maintain the knowledge base and another one to query the knowledge base. Uploaded documents are saved into the Qdrant vector store. When a query is made, the most relevant doc

Document Default Data Loader, Ollama Embeddings, Chat Trigger +5
AI & RAG
Build a Document-based AI Chatbot with Google Drive, Llama 3, and Qdrant RAG

Overview This template allows users to set up an AI-powered chatbot that retrieves and processes knowledge from Google Drive documents using Retrieval-Augmented Generation (RAG). By leveraging Llama 3

Google Drive Trigger, Google Drive, Ollama Embeddings +6
AI & RAG
Noc Zabbix AI Triage Agent

noc_zabbix_ai_triage_agent. Uses agent, memoryRedisChat, lmChatOllama, outputParserStructured. Webhook trigger; 11 nodes.

Agent, Memory Redis Chat, Ollama Chat +6
AI & RAG
Chatbot (memory Mongo Db Chat)

Chatbot. Uses memoryMongoDbChat, httpRequestTool, lmChatMistralCloud, agent. Webhook trigger; 9 nodes.

Memory Mongo Db Chat, HTTP Request Tool, Lm Chat Mistral Cloud +3
AI & RAG
Chatbot (agent)

Chatbot. Uses agent, lmChatGoogleGemini, vectorStoreQdrant, embeddingsGoogleGemini. Webhook trigger; 9 nodes.

Agent, Google Gemini Chat, Qdrant Vector Store +2
AI & RAG
Build an Mcp Server Which Answers Questions with Retrieval Augmented Generation

Click here to watch the full tutorial on YouTube

Mcp Trigger, Qdrant Vector Store, Ollama Embeddings +2
AI & RAG
Upload Brochures to Qdrant (manual Trigger)

Upload Brochures to Qdrant (Manual Trigger). Uses googleDrive, vectorStoreQdrant, embeddingsOpenAi, documentDefaultDataLoader. Event-driven trigger; 8 nodes.

Google Drive, Qdrant Vector Store, OpenAI Embeddings +2
AI & RAG
Consulta

Consulta. Uses agent, lmChatOllama, memoryBufferWindow, vectorStoreQdrant. Webhook trigger; 7 nodes.

Agent, Ollama Chat, Memory Buffer Window +2
AI & RAG
Dssat RAG (embeddings Open Ai)

dssat-rag. Uses embeddingsOpenAi, documentDefaultDataLoader, textSplitterCharacterTextSplitter, vectorStoreQdrant. Event-driven trigger; 7 nodes.

OpenAI Embeddings, Document Default Data Loader, Text Splitter Character Text Splitter +2
AI & RAG
Conversational RAG

Conversational RAG. Uses embeddingsOpenAi, chatTrigger, agent, lmChatOpenAi. Chat trigger; 7 nodes.

OpenAI Embeddings, Chat Trigger, Agent +3
AI & RAG
Small Dick

small dick. Uses executeWorkflowTrigger, vectorStoreQdrant, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 6 nodes.

Execute Workflow Trigger, Qdrant Vector Store, Document Default Data Loader +2
AI & RAG
Ingesta

Ingesta. Uses vectorStoreQdrant, embeddingsOllama, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter. Event-driven trigger; 6 nodes.

Qdrant Vector Store, Ollama Embeddings, Document Default Data Loader +3
AI & RAG
Carga De Datos

Carga de datos. Uses vectorStoreQdrant, embeddingsOllama, documentDefaultDataLoader, readWriteFile. Scheduled trigger; 6 nodes.

Qdrant Vector Store, Ollama Embeddings, Document Default Data Loader +2
AI & RAG
Dssat RAG Webhook

dssat-rag-webhook. Uses embeddingsOpenAi, agent, lmChatOpenAi, vectorStoreQdrant. Webhook trigger; 6 nodes.

OpenAI Embeddings, Agent, OpenAI Chat +1
AI & RAG
[vorlage] Agent — RAG (qdrant Wissensbasis)

[Vorlage] Agent — RAG (Qdrant Wissensbasis). Uses chatTrigger, agent, lmChatOllama, vectorStoreQdrant. Chat trigger; 6 nodes.

Chat Trigger, Agent, Ollama Chat +2
AI & RAG
Qa-chain

QA-chain. Uses executeWorkflowTrigger, chainRetrievalQa, lmChatOpenAi, retrieverVectorStore. Event-driven trigger; 6 nodes.

Execute Workflow Trigger, Chain Retrieval Qa, OpenAI Chat +3
AI & RAG
Knowledge Ingestion

Knowledge ingestion. Uses documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, vectorStoreQdrant, embeddingsOpenAi. Event-driven trigger; 6 nodes.

Document Default Data Loader, Text Splitter Recursive Character Text Splitter, Qdrant Vector Store +2
AI & RAG
Rag_qdrant

RAG_qdrant. Uses formTrigger, embeddingsOllama, vectorStoreQdrant, documentDefaultDataLoader. Event-driven trigger; 5 nodes.

Form Trigger, Ollama Embeddings, Qdrant Vector Store +2
AI & RAG
Knowledge Base Upload

Knowledge Base Upload. Uses vectorStoreQdrant, documentDefaultDataLoader, textSplitterTokenSplitter, embeddingsOpenAi. Event-driven trigger; 5 nodes.

Qdrant Vector Store, Document Default Data Loader, Text Splitter Token Splitter +2

36 of 236 workflows on page 2 of 2 · Browse all →

FAQ

How many n8n Qdrant Vector Store workflows are in the catalog?

236 n8n workflows in AutomationFlows currently use the Qdrant Vector Store integration — triggers, actions, or both.

How do I connect Qdrant Vector Store in n8n?

After importing the workflow JSON, n8n will prompt for Qdrant Vector Store 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 Qdrant Vector Store workflows pair with adjacent tools (Slack alerts, Google Sheets logging, OpenAI summarisation). Browse the integration tags on each workflow page to discover pairings.