RAG

Articles

• Build a Retrieval Augmented Generation (RAG) App
• Building a Local RAG System for Privacy Preservation with Ollama and Weaviate
• Typical RAG Implementation Using Semantic Kernel, Kernel Memory, and Aspire in .NET
• Using Phi-3 & C# with ONNX for text and vision samples
• Introducing Phi-3: Redefining what’s possible with SLMs
• Optimizing SLM with ONNX Runtime: Phi-3 on CPU with Sidecars for App Service
• Building Smarter Apps: Integrating Phi-3 SLM with Linux App Service
• Building an Advanced RAG System With Self-Querying Retrieval
• Demystifying Retrieval Augmented Generation with .NET
• Building Intelligent Applications with Local RAG in .NET and Phi-3: A Hands-On Guide
• Bring your AI Copilots to the edge with Phi-3 and Semantic Kernel

Videos

• .NET AI Community Standup - Phi-3 & C#: Bringing AI to your .NET Apps

Libraries

• microsoft/kernel-memory - RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns

Samples

• NikiforovAll/notebook-agent - Demonstrates how to use Semantic Kernel and Kernel Memory in a polyglot notebook environment.
• luisquintanilla/RAGDotnetAIFundamentals - This sample shows how to apply vanilla / simple RAG pattern using .NET fundamentals in the AI ecosystem

Books

• Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG