Last week I found a Notebook created by Elia (Google) and Lorenzo (Google) that greatly simplifies transitioning Vector Search from BigQuery to Feature Store, enabling a smooth shift from offline to online serving with minimal code changes.
Considering my last RAG video didn't cover online serving in depth, I think this is a perfect topic for a follow-up video. I'll demonstrate how easy it is to switch between the two vector stores using a common interface.
P.S. my apologies for not mentioning Lorenzo in the video; I only found out there are two authors after finishing the video.
- 02:04 Why this topic is important
- 03:54 Walk through: the example notebook from Elia Secchi
- 24:32 The good
- 25:57 Not so good
- 28:32 Pricing
- 31:35 Use cases
Link to presentation: [ Ссылка ]
Notebook: [ Ссылка ]
Notebook Updated: [ Ссылка ]
Vertex AI Feature store docs on LangChain: [ Ссылка ]
