Articles about Rag — tutorials, news and analysis.
2 articles
Fine-tuning and RAG are the two main strategies for adapting an LLM to your data. They are not interchangeable: each solves a different problem. Here is the real difference.
RAG lets an LLM answer questions about your own documents without retraining it. A clear explanation of how it works and a functional Python implementation you can build on.