Blog by Marco Steinke

RAG and Fine-Tuning

Large Language Models (LLMs) don’t always produce reliable results. In practice, one thing becomes clear: combining Retrieval Augmented Generation (RAG) and fine-tuning can make them more robust. This post explains how the two approaches complement each other – and why a production feedback loop is critical.

Blog Post

Document Ingestion

How can we transform a pile of diverse documents into a high-quality knowledge base for AI systems? Document ingestion is the critical first step in any Retrieval-Augmented Generation (RAG) system—and often the reason why these systems fail.