Retrieval-augmented generation (RAG) is a technique for providing external sources of knowledge to the LLM. It helps improve the accuracy of AI answers by accessing information outside of the model's training data. SillyTavern provides a set of tools for building a multi-purpose knowledge base from a diverse number of sources, as well as using the collected data in LLM prompts.
