
Teach Your Model to Ask Better Questions - Query Refinement in RAG

This generative pre-trained transformer is specifically designed to tackle complex transportation challenges. TransGPT leverages the power of large language models to analyze and interpret structured transportation data, enabling a new era of smart mobility systems.

A deep dive into enhancing retrieval accuracy in Retrieval-Augmented Generation (RAG) systems by comparing the practice of embedding full query contexts with using an LLM to rewrite ambiguous follow-up queries. Explore the trade-offs in speed, precision, and complexity of each approach.