Tag
RAG
5 articles tagged with “RAG”
AIAI-SearchAPI-gatewayASP.NET-CoreAzure-APIMAzure-OpenAICIClaudeCopilotCosmos-DBCursorEvent-GridGPTGemmaGitHubJSONLLMMCPMistralModel-Context-ProtocolPhiPineconeQdrantRAGSDKSLMSemantic-KernelService-BusWindsurfagentsarchitectureasyncautomationbenchmarksbest-practicescachingchatbotcode-reviewcoding-agentscomparisoncost-controlcost-optimizationdecision-frameworkdotnetembeddingsengineeringevaluationevent-drivenfew-shotfine-tuningfunction-callingintegrationknowledge-basememorymetricsmocksmodel-routingmulti-agentorchestrationpersonal-AIplanningpluginsproductionprompt-designprompt-engineeringqualityquantizationqueuesregression-testingschemastructured-outputtestingtoken-economicstool-callingtool-usevector-dbvector-searchversion-control
ai architecture
How to Build a Production-Ready AI System (Azure OpenAI + AI Search — Real Architecture)
Azure OpenAI + AI Search + embeddings — real-world architecture for production AI systems, including legacy data, orchestration, hybrid retrieval, cost control, and failure modes.
15 min
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Vector Database Selection for Production RAG
Cosmos DB, AI Search, Qdrant, Pinecone — benchmarks, cost, and operational complexity for production vector search.
9 min
Read →experiments
Building a Personal AI Knowledge Base
How to build a personal RAG system over your notes, bookmarks, and documents — using embeddings, vector search, and a conversational interface.
11 min
Read →models
When to Fine-Tune vs Few-Shot vs RAG
A decision framework for choosing between fine-tuning, few-shot prompting, and RAG for production LLM applications.
10 min
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Designing RAG Systems That Actually Scale
Chunking strategies, embedding pipelines, retrieval patterns, and when RAG breaks down in production systems.
12 min
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