What is it

LLM versions are frozen in time.

When the model is released, it only contains information up to the time/data it was trained on.

When new information or context is needed, using just the model without RAG will cause model to hallucinate or return a response that it doesn't know.

• Hallucination is when a model returns a false information based on lack of training data

RAG allows us to pass a new context and data to the existing model.

• Creates a new data in vector space that becomes available for semantic search