Retrieval-Augmented Generation
Natural language processing technique that enhances the output of Large Language Models (LLMs) by integrating external knowledge sources, improving precision and dependability of AI-generated text.
Areas of application
- Natural Language Processing
- Artificial Intelligence
- Machine Learning
- Information Retrieval
- Knowledge Management
- Medical Writing
- Legal Writing
Example
A RAG system can be used to generate medical reports by combining the language generation capabilities of a LLM with a large database of medical knowledge. The system can reference the latest research and guidelines, ensuring that the generated report is accurate and up-to-date.