Automation library · AI assistants

RAG upload on Pinecone - large data with OpenAI

Started by another system calling it, and works across Pinecone. It puts OpenAI 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: OpenAIRetrieval

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

The flow

Starts it 1Model 4Logic 1

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

  1. 1Webhook TriggerWebhookStarts it
  2. 2Recursive Text SplitterText Splitter Recursive Character Text SplitterModel
  3. 3OpenAI EmbeddingsEmbeddings Open AiModel
  4. 4Workflow ConfigurationSetLogic
  5. 5Document LoaderDocument Default Data LoaderModel
  6. 6Pinecone Vector StoreVector Store PineconeModel

How it's built

Starts on
Another system calling it
Steps
6
Size
Small: readable in one sitting
Connects to
Pinecone
Model
OpenAI
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 Pinecone account, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on another system calling it.

Does it use AI?

Yes. It calls OpenAI. 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.