bsdpython

Jeff Dean leaving Google should be the headline but big news all around for Google AI nonetheless

Is it possible we hit a wikipedia moment (it being more accurate than Encyclopedias) where the quality of typical ai generated code is better than popular open source libraries?

Thanks. I know the last one is controversial, but the way I am starting to think about it is that we are just moving to a new layer of abstraction. I no longer understand very well how hardware works, nor do I know in detail how a browser renders a page, nor the full fine details of how many of the libraries I use work. My own AI generated code, in pockets, is starting to work in the same way. And I'm starting to become OK with that risk.

I did not get into it (very short write up), but in general there is a never ending need to build new software and systems. Those efficiencies will simply allow more to be done and more software to be built. That's been the history of software so far.

Google Cloud offers many different options to build Retrieval Augmented Generation (RAG) powered applications. This includes discrete components that comprise RAG solutions (embeddings, vector search, LLMs) but also includes options that combine multiple steps or even the entire RAG application in a single service. The best option for you will depend on factors such as your use case, engineering expertise, existing tech stack and future needs.

Let's start with a set of use cases and design a solution architecture using the most appropriate options. After that let's go through a detailed breakdown of the full list of services with the pros, cons and recommendations for when to use each.