Implementing RAG with OpenAI: A Step-by-Step Guide
Retrieval-Augmented Generation is hybrid approach that combines two key components:
Retriever – Fetches relevant data from an external knowledge source, such as a database, document corpus, or API.
Generator – Produces responses based on the retrieved data, ensuring the output aligns with verified information.
By leveraging the retriever to provide a foundation of factual context, the generator operates within a more grounded framework, reducing the likelihood of hallucinations.