This workflow follows the Documentdefaultdataloader → OpenAI Embeddings recipe pattern — see all workflows that pair these two integrations.

The workflow JSON

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Credentials you'll need

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

Source: https://github.com/itswael/DSSAT-RAG/blob/main/n8n/dssat-rag.json — original creator credit. Request a take-down →

Workflows that share integrations, category, or trigger type with this one. All free to copy and import.

AI & RAG

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

Google Drive Trigger, Google Drive, Qdrant Vector Store +6

AI & RAG

Alfred (funcional). Uses gmailTool, googleCalendarTool, gmail, embeddingsOpenAi. Event-driven trigger; 83 nodes.

Gmail Tool, Google Calendar Tool, Gmail +24

AI & RAG

Agent IA Projet Client. Uses executeWorkflowTrigger, lmChatOpenAi, toolWorkflow, vectorStoreQdrant. Event-driven trigger; 79 nodes.

Execute Workflow Trigger, OpenAI Chat, Tool Workflow +16

AI & RAG

My workflow 2529. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, googleDrive. Event-driven trigger; 54 nodes.

OpenAI Chat, Document Default Data Loader, OpenAI Embeddings +11

AI & RAG

05. Base_To_Copy. Uses lmChatOpenAi, documentDefaultDataLoader, embeddingsOpenAi, googleDrive. Event-driven trigger; 54 nodes.

OpenAI Chat, Document Default Data Loader, OpenAI Embeddings +11