Retrieval AI involves searching and retrieving information from large datasets. It uses techniques such as NLP and ML algorithms to understand the intent of a user’s query and retrieve the most relevant results from a database (similar to search engines.) Retrieval AI is used in various applications, such as chatbots, customer support systems, and search engines. For example, when you ask a chatbot a question, it uses retrieval AI to search for the most relevant response from a database of pre-existing responses. In search engines, retrieval AI can help users find the most relevant search results based on their search query. Retrieval AI is a powerful technology that can help organizations improve their customer service, increase efficiency, and enhance user experience by providing accurate and relevant information. It is a crucial component of many AI applications that rely on retrieving and processing large amounts of data.