Retrieval Augmented, Retrieval Augmented Gen, Llm, Large Language Models, Machine Learning.
power of retrieval and language generation. RAG operates in two stages: first, it searches a database for documents most similar to the user’s query, and then, it employs a language model to generate a response based on the retrieved information. While RAG has proven effective, it faces limitations