Anthropic just reduced the error rate of RAGs by 67% using a ridiculously simple method. They add important context to small text chunks before storing them, which improves accuracy later. Instead of just saying “the company grew by 3%,” it includes details like which company and when,... See more

RAG, which stands for "Retrieval Augmented Generation," is a strategy in artificial intelligence where a large language model (LLM) retrieves relevant information from an external knowledge base (like a database or document collection) before generating a response to a user query, ensuring the response is more accurate and contextually relevant by... See more