RAG - Retrieval Augmented Generation
Retrieval Augmented Generation (RAG) improves large language models (LLMs) and AI-generated text by combining data retrieval with text generation.
Additional Reference Materials
- Retrieval Augmented Generation (RAG): All You Need To Know | Voiceflow
- Mistral - Basic RAG | Mistral AI Large Language Models
- Augmenting a Large Language Model with Retrieval-Augmented Generation and Fine-tuning | Microsoft Learn
- Open AI - Embeddings - OpenAI Platform
- Building Intelligent Applications with Local RAG in .NET and Phi-3: A Hands-On Guide
Text Embeddings
- Semantic Kernel Planner: Improvements with Embeddings and Semantic Memory | Semantic Kernel
- Systenics Solutions AI | Using Semantic Kernel with local embeddings
- Embedding models · Ollama Blog
Local Memory
- Local Memory: C# Semantic Kernel, Ollama and SQLite to manage Chat Memories locally | by John Kane | Medium
- A completely local RAG: .NET Langchain, SQLite and Ollama with no API keys required. | by John Kane | Medium