The flow
Starts it 2Model 12Logic 1Service 2
The steps in the order they run, from what starts it.
- 1Google Gemini Chat ModelLm Chat Google GeminiModel
- 2Simple MemoryMemory Buffer WindowModel
- 3When chat message receivedChat triggerStarts it
- 4Google Gemini Chat Model1Lm Chat Google GeminiModel
- 5Google Gemini Chat Model2Lm Chat Google GeminiModel
- 6Embeddings Google GeminiEmbeddings Google GeminiModel
- 7When clicking ‘Execute workflow’Manual triggerStarts it
- 8Embeddings Google Gemini1Embeddings Google GeminiModel
- 9Default Data LoaderDocument Default Data LoaderModel
- 10AI AgentAgentModel
- 11Text ClassifierText ClassifierModel
- 12Summarization ChainChain SummarizationModel
- 13Qdrant Vector Store1Vector Store QdrantModel
- 14Edit FieldsSetLogic
- 15Qdrant Vector StoreVector Store QdrantModel
- 16Create an incidentService NowService
- 17HTTP RequestHttp RequestService
How it's built
- Starts on
- Someone opening a chat with it
- Steps
- 17
- Size
- Medium: a working afternoon
- Connects to
- Qdrant
- Model
- Gemini
- Retrieval
- Answers are drawn from documents you supply, not from the model alone
Questions
What does it need to run?
An n8n account, plus your own Qdrant account, and a key for Gemini. You connect your own accounts after importing it; none are included.
What starts it?
It starts on someone opening a chat with it.
Does it use AI?
Yes. It calls Gemini. Its answers draw on documents you give it, not on the model alone. Model calls are billed by the provider, not by n8n.
How long does it take to set up?
Plan an afternoon. 17 steps is enough that you should read each one before running it.
How do I import it?
Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.
Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 17 steps before you point it at anything that matters.