Apurva Misra

In this conversation, Apurva Misra, founder of Sentick and an AI strategy expert, dives deep into the world of Retrieval-Augmented Generation (RAG). He explains how RAG optimizes context for LLMs, discusses the trade-offs between large context windows and targeted retrieval, and outlines strategies for creating effective embeddings. Apurva also highlights the importance of data quality, feedback loops, and introduces hybrid search combining keywords with semantic intent. A must-listen for anyone interested in enhancing AI workflows!