Powering the next generation of AI development with AWS

Together with AWS and Anthropic, we’re laying the technological foundation—from silicon to software—that will power the next generation of AI research and development. By combining Backchannel’s expertise in frontier AI systems with AWS’s world-class infrastructure, we’re building a secure, enterprise-ready platform that gives organizations of all sizes access to the forefront of AI technology.

Overview on RAG

RAG, or retrieval-augmented generation, is an AI framework that enhances generative language models by combining them with traditional information retrieval systems.

RAGs operate in two main steps:

1. Retrieval and pre-processing: powerful search algorithms query external data sources, with the retrieved information undergoing pre-processing like tokenization and removing stop words.

2. Generation: the pre-processed data is integrated into the LLM, enriching its context and enabling more accurate, informative, and engaging responses.