Retrieval Augmented, Retrieval Augmented Gen, Llm, Large Language Models, Machine Learning.
into numerical representations called embeddings. The search engine then looks for documents whose embeddings are similar to these, effectively casting a wider net to find relevant information. Example: Question: Same as the RAG example. Hypothetical Document: “…caffeine on reaction times…