Advanced RAG Techniques: How to Hit 90%+ Accuracy with Hybrid Search & Re-ranking скачать в хорошем качестве

Advanced RAG Techniques: How to Hit 90%+ Accuracy with Hybrid Search & Re-ranking

Is your RAG system giving you irrelevant results or missing the context? A basic vector-search-only approach often fails in the real world. In this video, we’re diving into the Advanced RAG techniques that take your AI from a prototype to a production-ready powerhouse. What we cover in this deep dive: The Problem with Basic RAG: Why simple semantic similarity has blind spots when it comes to exact matches, acronyms, and technical terms. Hybrid Search: How to combine the best of both worlds—keyword-based search and vector search—for superior retrieval. Re-ranking for Precision: Adding a "second look" layer to ensure the most relevant information actually reaches the top of your context window. Metadata Filtering: Making your RAG context-aware and significantly faster by pinpointing exactly what you need. Best Practices for Production: How to measure quality using metrics like MRR and NDCG, and how to monitor your system for long-term success. By implementing these three game-changing techniques, you can move your system from 60% accuracy to 90%+ accuracy. Check the description for links to the complete implementation on GitHub! #AdvancedRAG #GenerativeAI #LangChain #MachineLearning #AITutorial #HybridSearch #VectorSearch #LLM #ProductionAI #AIEngineering