Automation library · Customer support

Answer document questions with Ollama and Qdrant

Started by someone opening a chat with it, and works across Qdrant. It puts a local model behind a retrieval step, so answers are drawn from documents you supply rather than from the model alone. 6 steps: small enough to read in one sitting and change without fear.

SmallCalls a model: a local modelRetrieval

6 stepsSmall: readable in one sitting
0Branches: places the flow splits
0Loops or waits
1Service it connects to

The flow

Starts it 1Model 5

The steps in the order they run, from what starts it.

  1. 1When chat message receivedChat triggerStarts it
  2. 2Ollama Chat ModelLm Chat OllamaModel
  3. 3Embeddings OllamaEmbeddings OllamaModel
  4. 4Question and Answer ChainChain Retrieval QaModel
  5. 5Qdrant Vector StoreVector Store QdrantModel
  6. 6Vector Store RetrieverRetriever Vector StoreModel

How it's built

Starts on
Someone opening a chat with it
Steps
6
Size
Small: readable in one sitting
Connects to
Qdrant
Model
a local model
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 a local model. 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 a local model. 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?

Not long. At 6 steps it can be read in one sitting and changed without fear.

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.

Before you run it

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 6 steps before you point it at anything that matters.