👉 Retrieval engineering is a methodology in information retrieval and artificial intelligence that focuses on enhancing the accuracy and efficiency of information retrieval systems by prioritizing the recall of relevant documents over the generation of new content. Instead of relying on machine learning models to generate novel responses, retrieval engineering emphasizes the use of pre-existing, high-quality data and sophisticated retrieval techniques to identify and present the most pertinent results from large databases or knowledge bases. This approach leverages algorithms for ranking, indexing, and query optimization to ensure that when a user submits a query, the system can effectively retrieve and present the most relevant information, often resulting in improved user satisfaction and more efficient information access. By focusing on retrieval rather than generation, retrieval engineering can significantly reduce the computational resources required and enhance the reliability of information systems.
