Building a Multi-Agent Product Recommender with Google ADK & Vertex AI

Hello, I'm building a multi-agent system with Google ADK. I have seen what Zalando built (https://www.cxnetwork.com/replay-video/content/zalando-ai-assistant) and I think it is awesome.

Now I'm wondering what tools they used to build an agent like that. Can we, with Google ADK, Vertex AI, and Google's toolset, build something like this? What do you think? what would be the way to do it?

I have been investigating, and I should probably build a RAG agent with access to a high-quality document or set of documents with a very specific guide of recommendations, history of products, etc. (all valuable information to recommend products). I would also create a product database using a Google tool for that, accessible by the agent so it can search products by all parameters and view images of the products. (Before choosing products, it should verify the price and stock with the API I'm using in my e-shop).

What do you think? What tools would you use? Is Google ready for a chatbot like Zalando's?

0 comments