Implementing RAG with AnythingLLM
Implementing RAG with AnythingLLM Large Language Models (LLMs) can answer a wide range of questions. However, when a question involves specific documents or private information, relying solely on the model’s existing knowledge may not provide accurate answers. RAG (Retrieval-Augmented Generation) is a common approach to this problem. It retrieves relevant information from documents and provides […]