Building a Custom AI Brain using n8n and Vector DBs

I was recently tasked with building a custom AI brain for a client, and I decided to use n8n and Vector DBs to create a private, internal ‘Google’ for their company’s specific data.

Here’s a high-level overview of the architecture I used:

  n8n                                                                                           Vector DBs

I used n8n to create a workflow that fetches data from various sources, and then used Vector DBs to create a knowledge graph that provides accurate, context-aware answers to the user’s queries.

One of the challenges I faced was handling the data integration and ensuring that the knowledge graph was up-to-date. I used Webhooks to handle the data integration and ensure that the knowledge graph was always current.

Overall, building this custom AI brain was a challenging but rewarding project, and I’m excited to see how it will benefit the client’s business.

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