From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 2 | Amazon Web Services
2024-11-15
In Part 1 of this series, we defined the Retrieval Augmented Generation (RAG) framework to augment large language models (LLMs) with a text-only knowledge base. We gave practical tips, based on hands-on experience with customer use cases, on how to improve text-only RAG solutions, from optimizing the retriever to mitigatingContinue Reading
