From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 1
CAT
1 min read
In this post, we cover the core concepts behind RAG architectures and discuss strategies for evaluating RAG performance, both quantitatively through metrics and qualitatively by analyzing individual outputs. We outline several practical tips for improving text retrieval, including using hybrid search techniques, enhancing context through data preprocessing, and rewriting queries for better relevance.
Originally appeared here:
From RAG to fabric: Lessons learned from building real-world RAGs at GenAIIC – Part 1
