Connecting ChatGPT to a keyword database fundamentally serves to ground its responses in verifiable information. This approach involves ChatGPT using keywords from a user's query to search a curated database of facts, figures, and associated sources. The retrieved data then informs the AI's answer, ensuring factual accuracy and allowing for clear source attribution directly from the database entries. Essentially, it transforms ChatGPT from a generative model relying solely on its training data into a retrieval-augmented generation (RAG) system. This method is crucial for domains requiring high precision, significantly reducing the risk of hallucinations by constraining the output to validated information. It differs from simply using ChatGPT's inherent knowledge, which might lack real-time updates or specific citations for its generated content. More details: https://www.pelemall.com/SetLanguage/SetLanguage?culture=ar&returnUrl=qr.ae/pGqrpL&returnUrlForLanguageSwitch=https://infoguide.com.ua/