Our Work
Here is some of the work that we have done in the past. Feel free to take a look and get an idea for the type of work and quality that we do for our clients!
Here is some of the work that we have done in the past. Feel free to take a look and get an idea for the type of work and quality that we do for our clients!
RAG stands for Retrieval-Augmented Generation, a system designed to improve large language models (LLMs). LLMs generate text based on an input. Most models are trained on a general dataset, meaning an LLM can never really know anything except what it has been trained on. Their are two main solutions to this issue, train on top of the model with new data (fine-tuning) or to feed the knowledge as input to the LLM (RAG). The LLM (generator) is augmented by retrieving data from a knowledge base.
RAG can be summarized to 4 steps:
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The site is mobile-first, but also desktop-friendly. Highly optimized (near perfect Lighthouse scores!), accessible, and yet things are kept simple.
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