Rag on AI Charchahttps://www.aicharcha.com/tags/rag/Recent content in Rag on AI CharchaAI Charchahttps://www.aicharcha.com/images/aicharcha-logo-refresh-1.svghttps://www.aicharcha.com/images/aicharcha-logo-refresh-1.svgHugoen-usThu, 18 Jun 2026 00:00:00 +0000How to Build Generative AI Apps in Azure with Microsoft Foundryhttps://www.aicharcha.com/guides/how-to-build-generative-ai-apps-in-azure-microsoft-foundry/Thu, 18 Jun 2026 00:00:00 +0000https://www.aicharcha.com/guides/how-to-build-generative-ai-apps-in-azure-microsoft-foundry/A practical guide to building generative AI apps in Azure with Microsoft Foundry, covering project setup, model selection, SDK development, RAG, fine-tuning, responsible AI, and evaluation.Vector Databases and RAG in 2026: Smart Retrieval Architecture Guidehttps://www.aicharcha.com/research/vector-databases-rag-implementation/Tue, 16 Jun 2026 00:00:00 +0000https://www.aicharcha.com/research/vector-databases-rag-implementation/A practical RAG and vector database guide for teams building AI search, internal knowledge assistants, support copilots, and retrieval-backed LLM applications.Enterprise RAG Evaluation Methods for 2026https://www.aicharcha.com/research/enterprise-rag-evaluation-methods-2026/Fri, 05 Jun 2026 00:00:00 +0000https://www.aicharcha.com/research/enterprise-rag-evaluation-methods-2026/A research note on evaluating retrieval-augmented generation systems for accuracy, source quality, coverage, and user trust.Knowledge Base Readiness for AI Assistantshttps://www.aicharcha.com/research/may-19-knowledge-base-readiness-for-ai/Tue, 19 May 2026 00:00:00 +0000https://www.aicharcha.com/research/may-19-knowledge-base-readiness-for-ai/A research note on preparing help centers, internal docs, and knowledge bases for AI retrieval and assistant workflows.Vector Database Cost Management for RAG Teamshttps://www.aicharcha.com/research/may-12-vector-database-cost-management/Tue, 12 May 2026 00:00:00 +0000https://www.aicharcha.com/research/may-12-vector-database-cost-management/A research note on vector database cost drivers, indexing choices, storage growth, retrieval design, and operational controls.RAG Source Quality Scoring for Reliable AI Answershttps://www.aicharcha.com/research/may-04-rag-source-quality-scoring/Mon, 04 May 2026 00:00:00 +0000https://www.aicharcha.com/research/may-04-rag-source-quality-scoring/A research note on how source quality scoring can improve retrieval augmented generation and reduce weak or unsupported AI answers.