Semantic Ranking in Azure AI Search | How Cross-Encoders Improve RAG Retrieval

✨ Unlock better RAG retrieval by adding Semantic Ranking on top of your Hybrid Search pipeline using Azure AI Search. Most teams stop at vectors + BM25… but cross-encoders can take your relevance to a whole new level. What you’ll discover: 🔥 📌 Bi-Encoders vs Cross-Encoders - why they behave differently and when each one shines 📌 L1 vs L2 retrieval phases inside Azure AI Search and how reranking reshapes your results 📌 How answers and captions are generated and why they matter for RAG quality 📌 A real C# example showing how to enable Semantic Ranking, boosted scoring, and reranker profiles Blog post: https://deployedinazure.com/semantic-... ----- 0:00 Intro 1:18 Example Walkthrough 3:33 Bi-Encoders vs. Cross-Encoders 9:37 L1 vs. L2 Retrieval Phases 13:32 Semantic Search in Azure AI Search 22:13 Query Syntax + Three Key Features 27:00 C# Implementation Example 40:06 Summary ----- Follow me 👉 🌐 Blog: https://deployedinazure.com 💻 GitHub: https://github.com/deployed-in-azure/RAG 🔗 LinkedIn:   / deployed-in-azure