Sascha Corti

Sascha Corti

Software Development Engineer for Microsoft in Switzerland. Focus on GenAI projects. EV afficionado and gamer with a life. Opinions = my own.
How to Build a Retrieval-Augmented Generation (RAG) System Locally with RLAMA and Ollama

How to Build a Retrieval-Augmented Generation (RAG) System Locally with RLAMA and Ollama

Implementing and Refining RAG with rlama Retrieval-Augmented Generation (RAG) augments Large Language Models (LLMs) by incorporating document segments that substantiate responses with relevant data. The rlama framework facilitates a completely local, self-contained RAG solution, thus eliminating dependency on external cloud services while ensuring confidentiality of the underlying data. Although rlama
4 min read
Evaluating Microsoft Copilot Studio-based RAG Agents with the Copilot Studio Evaluator

Evaluating Microsoft Copilot Studio-based RAG Agents with the Copilot Studio Evaluator

Building robust Retrieval-Augmented Generation (RAG) solutions is essential when leveraging Microsoft Copilot Studio for enterprise-grade AI scenarios. Whether you are creating a knowledge worker assistant, an internal FAQ bot, or a content synthesizer, ensuring groundedness and document retrieval performance is critical. The Copilot Studio Evaluator repository offers you a straightforward
2 min read