This workflow follows the Agent → Chat Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
googlePalmApi
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
rag. Uses agent, chatTrigger, lmChatGoogleGemini, memoryBufferWindow. Chat trigger; 9 nodes.
Source: https://github.com/datawhalechina/handy-n8n/blob/d0d1f6dbb65815de8b1433dd671482f25e76122b/workflows/c04/n8n_rag.json — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
AI chatbots are only as good as the data they learn from. Most large language models (LLM) rely only on their training datasets.
Fadhil. Uses agent, chatTrigger, mySql, vectorStoreSupabase. Chat trigger; 25 nodes.
This template is ideal for IT support teams, internal helpdesk automation engineers, and developers building intelligent ticketing systems. It helps streamline ITSM workflows by automatically classify
**Type of data is binary
POC Sistema GenAI Híbrido para uso interno iFood -> Agente RAG + LLM Chain Routing. Uses chatTrigger, chainLlm, googleDrive, documentDefaultDataLoader. Chat trigger; 19 nodes.