RAG (Retrieval-Augmented Generation)
A technique that combines LLMs and document databases for responses based on corporate sources.
RAG (Retrieval-Augmented Generation) is a technique that enriches an LLM's responses with information retrieved from a corporate vector database. It allows for building chatbots that respond only based on their own documents, reducing hallucinations and updating knowledge without the need for re-training.
Practical examples
- Support chatbots for corporate manuals
- Legal assistants for judicial rulings
- Q&A on technical documentation
- Semantic search on knowledge bases
Come lo usa Faraday
Nel lavoro con le imprese applichiamo il concetto di RAG (Retrieval-Augmented Generation) in progetti concreti di chatbot, automazioni e software AI, con misurazione dei risultati di business.
Se stai valutando un progetto che coinvolge rag (retrieval-augmented generation), parla con il team Faraday o consulta i servizi AI.