A comprehensive, professional guide explaining the differences, strengths, and best practices of Retrieval-Augmented Generation (RAG) and Fine-Tuning for LLMs, including workflows, comparisons, decision frameworks, and real-world hybrid AI use cases. Maintained by AmirhosseinHonardoust on GitHub, where it has earned 25 stars from the community.
