10 Challenges in Building RAG-Based LLM Applications

Explore the intricacies of Retrieval Augmented Generation (RAG) in this comprehensive live talk that delves into the 10 most significant challenges faced when building RAG-based Large Language Model (LLM) applications. Gain valuable insights into the benefits, hurdles, and implementation strategies for RAG technology, which stands at the forefront of custom LLM solutions for dynamic knowledge management. Discover practical approaches to overcome technical complexities and governance issues, equipping yourself with the tools needed for successful RAG-based LLM implementation. Learn why RAG is crucial for custom LLM apps, identify common pitfalls spanning both technical and governance domains, and acquire strategies to navigate the ever-changing landscape of AI-powered knowledge systems.

10 Challenges in Building RAG-Based LLM Applications