Vector database that knows where the data came from?

How can I load data into a vector database in a way that the AI knows who it belongs to?

I have a Notion database that contains text information about clients.

Each client can have many entries and the entries have a date field.

I want to feed this Notion DB into the vector DB, so I can ask stuff like this:

“What is the most recurring topic in Client X’s data? Does this topic show up in a periodic pattern, like weekly or monthly?”

It looks like your topic is missing some important information. Could you provide the following if applicable.

  • n8n version:
  • Database (default: SQLite):
  • n8n EXECUTIONS_PROCESS setting (default: own, main):
  • Running n8n via (Docker, npm, n8n cloud, desktop app):
  • Operating system:

Hey @gmsalomao2,

Sorry for the delay on this one, Like with any database it is all going to depend on the structure and what data is saved. Assuming one of your fields is the client it should in theory just work, Have you already tried to make a workflow to achieve this?