Gen App Builder’s Enterprise Search allows developers to target output to specific data sources for accuracy and relevance, work with multimodal data such as images, and control how answer summaries are generated. It eliminates the need to chunk data, generate embeddings, and manage indexes, allowing developers to do a lot of work with little to no coding and no machine learning experience. It uses natural language processing and machine learning techniques to infer relationships within content and intent from user query input, providing more relevant results than traditional keyword-based search techniques. It also takes into account factors such as content popularity and user personalization.
