RAG combines the power of search with AI generation. Instead of relying only on what the model learned during training, RAG lets you connect AI to your own data — documents, articles, product information, or any other knowledge base.
Why creators should care
- Build AI chatbots that actually know your products and content
- Create customer support tools trained on your FAQ and documentation
- Make AI assistants that reference your specific expertise instead of generic knowledge
RAG vs fine-tuning
RAG and fine-tuning solve different problems. Fine-tuning changes how a model behaves (style, format). RAG changes what a model knows (specific facts, data). Many AI products combine both for the best results.
