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

The workflow JSON

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RAG. Uses formTrigger, vectorStoreQdrant, embeddingsOllama, documentDefaultDataLoader. Event-driven trigger; 19 nodes.

Source: https://github.com/RRAAM-HEALTH/360-patient-hr/blob/ec51f735cdde3534a78bdcfe0b140c94a49f5e41/Backend/RAG/workflows/WorkflowRAG.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

Indexation. Uses formTrigger, embeddingsOllama, textSplitterRecursiveCharacterTextSplitter, modelSelector. Event-driven trigger; 36 nodes.

Form Trigger, Ollama Embeddings, Text Splitter Recursive Character Text Splitter +10

AI & RAG

ejemplo RAG vs CRAG. Uses googleDrive, vectorStoreQdrant, embeddingsOllama, agent. Event-driven trigger; 30 nodes.

Google Drive, Qdrant Vector Store, Ollama Embeddings +9

AI & RAG

Indexation. Uses formTrigger, embeddingsOllama, textSplitterRecursiveCharacterTextSplitter, modelSelector. Event-driven trigger; 25 nodes.

Form Trigger, Ollama Embeddings, Text Splitter Recursive Character Text Splitter +9

AI & RAG

Local RAG AI Agent. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Event-driven trigger; 24 nodes.

Memory Postgres Chat, Ollama Chat, Lm Ollama +9

AI & RAG

V1 ocal RAG AI Agent. Uses memoryPostgresChat, lmChatOllama, lmOllama, toolVectorStore. Event-driven trigger; 24 nodes.

Memory Postgres Chat, Ollama Chat, Lm Ollama +9