Episode notes
Is your RAG agent hallucinating or missing obvious answers? đ”âđ« Basic RAG is just the beginning. We're breaking down 11 advanced strategies to fix its flaws and build a production-ready system.
Weâll talk about:
- A deep dive into 11 distinct RAG strategies, from simple wins like Reranking to advanced techniques like Knowledge Graphs.
- The "Must-Haves": why Context-Aware Chunking and Reranking should be in almost every production RAG system.
- How to use Query Expansion to "cast a wider net" and catch relevant documents even when users ask vague questions.
- The power of Agentic RAG for complex, multi-step questions that require planning and multiple searches.
- Plus, a "RAG Traps" guide  ...Â
Keywords
AI AgentsLLMRAGVector Database