is it just me whose screen froze?

If my document is very big, how can Gemini Pro with RAG in Google Cloud break it into parts and still give accurate answers

In a large-scale RAG setup with Gemini Pro on Google Cloud, how can we dynamically rank and filter retrieved chunks to avoid context window overflow while still preserving critical information

Can we see a sample of vector embedding?

This is helpful

Interesting

Hello!

Please scanner

https://github.com/anudishu/RAG-Terraform-Vertex.git

it was nice session