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Understand how Foundry IQ uses Agentic Retrieval Pipeline to navigate data silos. Learn how to tune Reasoning Effort for speed and accuracy.
Learn how Foundry IQ uses Knowledge Bases and Knowledge Sources to simplify Agentic Retrieval. Build enterprise-ready RAG in Microsoft Foundry.
Discover Graph RAG with C# and Neo4j. Build a Knowledge Graph to improve AI accuracy and find deep connections.
Master Contextual Retrieval and enriched chunk logic with OpenAI and Azure AI Search. Use Prompt Caching in Microsoft Foundry to optimize RAG costs and speed.
Learn effective chunking strategies for RAG with C#, including Fixed-Size, Semantic, Hierarchical Parent-Child and more, shown in a real C# example.
HyDE for RAG explained: a practical guide to boosting retrieval accuracy with hypothetical answers and advanced search methods (Azure AI Search + Foundry).
Learn how Multi-Query Retrieval for RAG uses query rewrites and Azure AI Search to improve accuracy and boost retrieval quality.
Semantic Ranking in Azure AI Search explained with cross‑encoders that boost RAG accuracy and improve retrieval relevance.
Learn how to implement Hybrid Search in RAG using C#. Combine BM25 precision with Vector semantics in Azure AI Search for better retrieval.
