Rag, Llm, Gpt, Evaluation, AI.
documents are now transformed into a dense array of numbers or embeddings. Vector Storage: These embeddings are now stored in vector storage for the ease of retrieval. Context Retrieval: The embeddings that are relevant to the user query are now passed as context to the LLM. Answer Generation: The