RAG : une évolution clé pour l’IA dans les entreprises
💻 Maxime Vermeir of ABBYY discussed the concept of RAG (retrieval-augmented generation) introduced in 2020 by Meta's researchers, then known as Facebook AI Research (FAIR). RAG aims to improve the predictive nature of language models like Llama, ChatGPT, and Claude by incorporating up-to-date data from a knowledge base, enhancing response quality and accuracy. The process involves converting information into structured data and vectors, stored in a vector database. RAG can integrate with APIs, allowing access to external databases. It's used by enterprises, including ABBYY, to make internal knowledge accessible for problem-solving and has potential applications in the travel industry for personalized trip planning. RAG complements natural language processing (NLP) to improve the capabilities of AI personal assistants.
Partager