This is going to be a short post… I am wrapping up a very busy week implementing something I wanted to do for a very long time. I always wished that Vector could be an animated news reader for me. It suits the personality of Vector, and it would a great example where Vector delivers a solid and valuable use case. But having Vector discuss live up-to-date issues is hard. Wirepod and its integration with Large Language Models don’t help this use cases because the models are only trained to a knowledge cut-off date, which for most models is up to a year back.
Introduction to RAG
There exists a technology called Retrieval-Augmented Generation (RAG) which enhances Large Language Models (LLMs) by integrating external knowledge retrieval into the generation process. This allows LLMs to access and utilize information beyond their pre-trained knowledge base, such as the latest news, resulting in more accurate, up-to-date, and relevant responses. While RAG is a great technology, it is not implem…